{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview\n",
    "\n",
    "This notebook introduces you MONAI's transformation module for 3D images.\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/master/modules/3d_image_transforms.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[nibabel]\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from monai.transforms import (\n",
    "    AddChanneld,\n",
    "    LoadImage,\n",
    "    LoadImaged,\n",
    "    Orientationd,\n",
    "    Rand3DElasticd,\n",
    "    RandAffined,\n",
    "    Spacingd,\n",
    ")\n",
    "from monai.config import print_config\n",
    "from monai.apps import download_and_extract\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tempfile\n",
    "import shutil\n",
    "import os\n",
    "import glob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MONAI version: 0.4.0+721.g75b7a446\n",
      "Numpy version: 1.21.2\n",
      "Pytorch version: 1.10.0a0+3fd9dcf\n",
      "MONAI flags: HAS_EXT = False, USE_COMPILED = False\n",
      "MONAI rev id: 75b7a4462647bfbe9bc8e7d8e5bff1238b87990d\n",
      "\n",
      "Optional dependencies:\n",
      "Pytorch Ignite version: 0.4.6\n",
      "Nibabel version: 3.2.1\n",
      "scikit-image version: 0.18.3\n",
      "Pillow version: 8.2.0\n",
      "Tensorboard version: 2.6.0\n",
      "gdown version: 3.13.1\n",
      "TorchVision version: 0.11.0a0\n",
      "tqdm version: 4.62.1\n",
      "lmdb version: 1.2.1\n",
      "psutil version: 5.8.0\n",
      "pandas version: 1.3.3\n",
      "einops version: 0.3.2\n",
      "transformers version: 4.10.2\n",
      "\n",
      "For details about installing the optional dependencies, please visit:\n",
      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Copyright 2020 MONAI Consortium\n",
    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#     http://www.apache.org/licenses/LICENSE-2.0\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License.\n",
    "\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup data directory\n",
    "\n",
    "You can specify a directory with the `MONAI_DATA_DIRECTORY` environment variable.  \n",
    "This allows you to save results and reuse downloads.  \n",
    "If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root dir is: /workspace/data/medical\n"
     ]
    }
   ],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(f\"root dir is: {root_dir}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download dataset\n",
    "\n",
    "Downloads and extracts the dataset.  \n",
    "The dataset comes from http://medicaldecathlon.com/."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "resource = \"https://msd-for-monai.s3-us-west-2.amazonaws.com/Task09_Spleen.tar\"\n",
    "md5 = \"410d4a301da4e5b2f6f86ec3ddba524e\"\n",
    "\n",
    "compressed_file = os.path.join(root_dir, \"Task09_Spleen.tar\")\n",
    "data_dir = os.path.join(root_dir, \"Task09_Spleen\")\n",
    "if not os.path.exists(data_dir):\n",
    "    download_and_extract(resource, compressed_file, root_dir, md5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set MSD Spleen dataset path\n",
    "\n",
    "The following groups images and labels from `Task09_Spleen/imagesTr` and `Task09_Spleen/labelsTr` into pairs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_images = sorted(\n",
    "    glob.glob(os.path.join(data_dir, \"imagesTr\", \"*.nii.gz\")))\n",
    "train_labels = sorted(\n",
    "    glob.glob(os.path.join(data_dir, \"labelsTr\", \"*.nii.gz\")))\n",
    "data_dicts = [\n",
    "    {\"image\": image_name, \"label\": label_name}\n",
    "    for image_name, label_name in zip(train_images, train_labels)\n",
    "]\n",
    "train_data_dicts, val_data_dicts = data_dicts[:-9], data_dicts[-9:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The image file names are organised into a list of dictionaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'image': '/workspace/data/medical/Task09_Spleen/imagesTr/spleen_10.nii.gz',\n",
       " 'label': '/workspace/data/medical/Task09_Spleen/labelsTr/spleen_10.nii.gz'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data_dicts[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The list of data dictionaries, `train_data_dicts`,\n",
    "could be used by PyTorch's data loader.\n",
    "\n",
    "For example,\n",
    "\n",
    "```python\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "data_loader = DataLoader(train_data_dicts)\n",
    "for training_sample in data_loader:\n",
    "    # run the deep learning training with training_sample\n",
    "```\n",
    "\n",
    "The rest of this tutorial presents a set of \"transforms\"\n",
    "converting `train_data_dict` into data arrays that will\n",
    "eventually be consumed by the deep learning models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the NIfTI files\n",
    "\n",
    "One design choice of MONAI is that it provides not only the high-level workflow components,\n",
    "but also relatively lower level APIs in their minimal functioning form.\n",
    "\n",
    "For example, a `LoadImage` class is a simple callable wrapper of the underlying `Nibabel` image loader.\n",
    "After constructing the loader with a few necessary system parameters,\n",
    "calling the loader instance with a `NIfTI` filename will return the image data arrays,\n",
    "as well as the metadata -- such as affine information and voxel sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = LoadImage(dtype=np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input: /workspace/data/medical/Task09_Spleen/imagesTr/spleen_10.nii.gz\n",
      "image shape: (512, 512, 55)\n",
      "image affine:\n",
      "[[   0.97656202    0.            0.         -499.02319336]\n",
      " [   0.            0.97656202    0.         -499.02319336]\n",
      " [   0.            0.            5.            0.        ]\n",
      " [   0.            0.            0.            1.        ]]\n",
      "image pixdim:\n",
      "[1.       0.976562 0.976562 5.       0.       0.       0.       0.      ]\n"
     ]
    }
   ],
   "source": [
    "image, metadata = loader(train_data_dicts[0][\"image\"])\n",
    "print(f\"input: {train_data_dicts[0]['image']}\")\n",
    "print(f\"image shape: {image.shape}\")\n",
    "print(f\"image affine:\\n{metadata['affine']}\")\n",
    "print(f\"image pixdim:\\n{metadata['pixdim']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Oftentimes, we want to load a group of inputs as a training sample.\n",
    "For example training a supervised image segmentation network requires a pair of image and label as a training sample.\n",
    "\n",
    "To ensure a group of inputs are beining preprocessed consistently,\n",
    "MONAI also provides dictionary-based interfaces for the minimal functioning transforms.\n",
    "\n",
    "`LoadImaged` is the corresponding dict-based version of `LoadImage`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = LoadImaged(keys=(\"image\", \"label\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input:, {'image': '/workspace/data/medical/Task09_Spleen/imagesTr/spleen_10.nii.gz', 'label': '/workspace/data/medical/Task09_Spleen/labelsTr/spleen_10.nii.gz'}\n",
      "image shape: (512, 512, 55)\n",
      "label shape: (512, 512, 55)\n",
      "image pixdim:\n",
      "[1.       0.976562 0.976562 5.       0.       0.       0.       0.      ]\n"
     ]
    }
   ],
   "source": [
    "data_dict = loader(train_data_dicts[0])\n",
    "print(f\"input:, {train_data_dicts[0]}\")\n",
    "print(f\"image shape: {data_dict['image'].shape}\")\n",
    "print(f\"label shape: {data_dict['label'].shape}\")\n",
    "print(f\"image pixdim:\\n{data_dict['image_meta_dict']['pixdim']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, label = data_dict[\"image\"], data_dict[\"label\"]\n",
    "plt.figure(\"visualize\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[:, :, 30], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[:, :, 30])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add the channel dimension\n",
    "\n",
    "Most of MONAI's image transformations assume that the input data has the shape:  \n",
    "`[num_channels, spatial_dim_1, spatial_dim_2, ... ,spatial_dim_n]`  \n",
    "so that they could be interpreted consistently (as \"channel-first\" is commonly used in PyTorch).  \n",
    "Here the input image has shape `(512, 512, 55)` which isn't in the acceptable shape (missing the channel dimension),  \n",
    "we therefore create a transform which is called to update the shape:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 512, 512, 55)\n"
     ]
    }
   ],
   "source": [
    "add_channel = AddChanneld(keys=[\"image\", \"label\"])\n",
    "datac_dict = add_channel(data_dict)\n",
    "print(f\"image shape: {datac_dict['image'].shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are ready to do some intensity and spatial transforms."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Resample to a consistent voxel size\n",
    "\n",
    "The input volumes might have different voxel sizes.  \n",
    "The following transform is created to normalise the volumes to have (1.5, 1.5, 5.) millimetre voxel size.  \n",
    "The transform is set to read the original voxel size information from `data_dict['image.affine']`,  \n",
    "which is from the corresponding NIfTI file, loaded earlier by `LoadImaged`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "spacing = Spacingd(keys=[\"image\", \"label\"], pixdim=(\n",
    "    1.5, 1.5, 5.0), mode=(\"bilinear\", \"nearest\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 334, 334, 55)\n",
      "label shape: (1, 334, 334, 55)\n",
      "image affine after Spacing:\n",
      "[[   1.5           0.            0.         -499.02319336]\n",
      " [   0.            1.5           0.         -499.02319336]\n",
      " [   0.            0.            5.            0.        ]\n",
      " [   0.            0.            0.            1.        ]]\n",
      "label affine after Spacing:\n",
      "[[   1.5           0.            0.         -499.02319336]\n",
      " [   0.            1.5           0.         -499.02319336]\n",
      " [   0.            0.            5.            0.        ]\n",
      " [   0.            0.            0.            1.        ]]\n"
     ]
    }
   ],
   "source": [
    "data_dict = spacing(datac_dict)\n",
    "print(f\"image shape: {data_dict['image'].shape}\")\n",
    "print(f\"label shape: {data_dict['label'].shape}\")\n",
    "print(f\"image affine after Spacing:\\n{data_dict['image_meta_dict']['affine']}\")\n",
    "print(f\"label affine after Spacing:\\n{data_dict['label_meta_dict']['affine']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To track the spacing changes, the data_dict was updated by `Spacingd`:\n",
    "* An `image.original_affine` key is added to the `data_dict`, logs the original affine.\n",
    "* An `image.affine` key is updated to have the current affine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, label = data_dict[\"image\"], data_dict[\"label\"]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[0, :, :, 30], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[0, :, :, 30])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reorientation to a designated axes codes\n",
    "\n",
    "Sometimes it is nice to have all the input volumes in a consistent axes orientation.  \n",
    "The default axis labels are Left (L), Right (R), Posterior (P), Anterior (A), Inferior (I), Superior (S).  \n",
    "The following transform is created to reorientate the volumes to have 'Posterior, Left, Inferior' (PLI) orientation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "orientation = Orientationd(keys=[\"image\", \"label\"], axcodes=\"PLI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 334, 334, 55)\n",
      "label shape: (1, 334, 334, 55)\n",
      "image affine after Spacing:\n",
      "[[  0.          -1.5          0.           0.47680664]\n",
      " [ -1.5          0.           0.           0.47680664]\n",
      " [  0.           0.          -5.         270.        ]\n",
      " [  0.           0.           0.           1.        ]]\n",
      "label affine after Spacing:\n",
      "[[  0.          -1.5          0.           0.47680664]\n",
      " [ -1.5          0.           0.           0.47680664]\n",
      " [  0.           0.          -5.         270.        ]\n",
      " [  0.           0.           0.           1.        ]]\n"
     ]
    }
   ],
   "source": [
    "data_dict = orientation(data_dict)\n",
    "print(f\"image shape: {data_dict['image'].shape}\")\n",
    "print(f\"label shape: {data_dict['label'].shape}\")\n",
    "print(f\"image affine after Spacing:\\n{data_dict['image_meta_dict']['affine']}\")\n",
    "print(f\"label affine after Spacing:\\n{data_dict['label_meta_dict']['affine']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NTXS7XXS7Xayvr2/zNWtcAL/bAYQqau4/JMr5nn6eIyIOAu6EKftDAL5j+PnXAXwG+/RBtsFNVvXyGOvztfms0xS3Vct22g+VIMk4n88DgCeh1dXVkUFAoVBArVbDxMQEGo0GxsbGUK1WfRka8KX153/6XJVwSfwEiVf324jpUB+xjurDpaK2sCZ2XpeE6ZxDuVxGrVYbuTd6PPtoc3MTnU4HzWYTKysrWF1dRbvdRqlU8vu63S76/f5I+3ZKxWkHKdofh4ScFffM8xwRcVBwq8ScAPhT51wC4N8mSfIRADNJklwe7r8CYOYWr3HHYH2MVu2lKeA0VR0iY1XjVF6FQgH1eh21Wg39ft/7WZvNJjY3N/30plwuh2KxiPHxcUxPT+PIkSNoNBqehNWcGwrQCplqlYRpLg9FnAPbBxL8bE3k3J7m39Xz7CBH+822he0JBWnlcjm/vVqtYnp62ivl5eVlLCwsYHV11avmXq+HVquFdru9jeTt74AmbBK4RmuzbQeUnO/p5zki4qDgVon525IkueScOwrgz5xzz+vOJEmS4UO+Dc65DwP48C1e/6agRGXN2BqJGzJvK9nZY6xa1muoT7darSKXy2FtbQ3dbtcrxOnpaYyPj2NsbMyr4XK57E3TJAP6kQlrGk8bPNg6A0C/39/WF9onIQK2pmHdb69pv6tlIlSO3gM7uLDXtwFaAFCpVFCr1TA7O4u1tTWsrq5iZWUFzWYTrVYL3W4XzWYTnU7Hq247v5yBZVT8WocDHhB2W57nEip3vqYREQcYt0TMSZJcGv6fc879AYB3A7jqnDuWJMll59wxAHMp534EwEcAIO1hvxNQwhzWY2Qft9nPTDihiir0cramW5qpGd3M4CWSz6lTpzA9PY3p6WlMTEwgn8/76GjgekSyJQ/rt9XrW2LUeoZMuKEBCLFbzmtLVqHra7/YPtNBQMgXrGZnJWMbea515f/x8XGMj4+j3+9jbW0NrVYLrVYLS0tLXk232+0RXzTPtwMSbT+vn8vlRiwQ9zpu1/PccJMHO0ouIuIO46aJ2TlXBZBJkmRt+Pm7AfwzAB8H8CMAfn74/w9vR0VvB6xvMeQPtqTD/TuZe5VQSNz5fB6NRgO1Wm1k7d96vY5KpeLJuFqtjpCVJu6wClgJOaQ4LYmE/KO2riGlr4MQa94NDVq0r0L7tL/tPUhT1xychNS0JUi9P/Yz605XAAD0ej3Mz8/j0qVLmJubQ7lc9q6E9fX1kfnmafc87fdwr+JefJ4jIg4qbkUxzwD4g+HLKQfgt5Ik+WPn3BcAfMw592MAXgHwg7dezdsHVY5WeVoCBLYHT+lx+uJm5HO9XsfU1BRmZmYwPj7us24xOpqkpEFYNKdatb3Ti9+qSZZpyVmVNuu+00pKaYMQW05oMBDql1B70nzI/K8BaHYgodeySlrL03sIwCvibDaLUqmE++67D7Ozs1hYWMCrr76K+fl5lEolH0jGAZLtT2ta1wHLPY578nmOiDiIuGliTpLkJQDfFNi+AOD9t1KpOwG7XnHIDGy/h0hHVZn6NScnJzE7O4tTp05hfHwcpVLJn2unHSVJMpIMQ0lHy1V/q61fGvnpeVrfkKWAn61/Os1HTaWox4b6MA0hP7GFJeHQd9YldH6IlBUbGxvIZDL+/7FjxzA9Pe0V9NLSEorFojd1axR3miWF5Hwv+5zvtec5IuIg41Bk/kqLEAa2BzVZYuQx9sXs3FbA1pEjR3D69GmcPn0aExMTXlEpGet51syqx9Dsas+zZWh9bVlphJrW/lB5OyGNtEPftd5pvm+rnq1P2Q5arEVDr23N3np9PUcJtNfrIZfL4dixY5iamsLi4iJeeeUVLC4uYmVlBSsrKz5hScj0z/IOaDBYRETEHuDAE3OIwEJ+UqsYLQlzXzabRaVSQb1ex7Fjx3DffffhyJEjPhBIX9pWie7kl0wz0xLq17QkFyJ4frYIKc2QqTh03k713ylZR0hx7jToSNsWIlu9hu2XEJlaEzmtF/RpHz16FJOTk7h69Spee+01zM/PY2lpCc1mc2QqGtvMfmHe8bjoRURExK3iQBNz2lQfbksjN/udEbilUgmNRgPlchmzs7O4//77UavVMBgMtk1hAkbzUauiste1051CijRE9CS8tDm5oXZpP4TM1JqHW6/tnPMJUGiG1+Ntu7V+oXuwk0k+jajTzO7W9M862KQoO6lotmtzcxO5XA4nT57ExMQEXn31VVy+fBlLS0tYWlpCt9v15zrnPBGzXlE5R0RE3CoOLDFb8gv5KkMEYb9ns1mUy2VMTEz4ecWnTp3C7OzstukyNpBJBwFKKvYFvpMaTiNrVeE8LtRuvY4Gh2naTht8FSJzTbQBXF+OkW2mL1b/p92PG4ESr/aL9hNVLq+v55GIeUyoz61JmseSoMvlMh599FFMT0/jpZdeQqFQwNzcHHq93rb5z6G6R0RERNwMDgUxA9tNuNbEGVKsmUwGExMTOHLkCJxzOHbsGM6cOYNqtTqSv1nJMhS8ZeulhLOTaifSfL+hwQehq1HxOqqKlex07WMAI6TDfuB87E6ng16v58vUlaeoqjWnNedhs9wQQsTLdocC4ZRcQ6Ssx+0USKfXV/XPflxfX0c+n8fU1BTK5TImJydRr9dx8eJFrK2tjZyrbctmswdqfnNERMTdxYEk5jRzaUgxE/Z4LqhQr9cxMTGBmZkZjI2NYTAY+KUJbRm8toWdnsRjGNHLY3Zqy06maeA6Edt2WhJmRDKJ0wZfaV/o9KV+v48kSUamEZF8uAiFkjXLAYBisYj19fURlc1rh3zpeq7WLUTcqlpDqtkOxgjtTy3TJmLhNKtKpYKHHnrIz0O/ePEirl27NkLA7OvBYIB8Ph90b0RERETshgNHzFaFAttJjy9lOwc1SbYWijhx4gQeeughnwCkXC4jSbaWHNzNv5mmiEPmTo3A1rqFgpWsP5j117SR/EzCp6pXArPR4toGEouWPxgM0O/3t60HzfWY19fX/TrJWqdCoTAyIOF2XofmYgZOqeJMm3ut907vtW2Hqm8eZwld+8oGroV80+yD6elp1Go11Ot15PN5XL58Gf1+f1va1BipHRERcbM4UMSsajGN4DQ4SEGz9QMPPIBHH30U9XodAPzCCDw35JvW6+v/tDpaWHVoTddW/TJhifpGmV2MhGfzQFs/MvuAhE5TNHA9+Ymuv8z1oJeWlnxmM6YZtb7szc1NtNttf76a1HkM11emr5iktrGxsc0MbAclVu1qu9QHbf3Ttgz1Rav1Qi0Uaipn31YqFTzwwAOoVCool8u4ePGij9rW6+TzeW9diYiIiLhRHBhiDillIJwNS1/Uzm2t9jQ7O4u3vvWtOH78uDdD2uCgNL9wGtmGVLKWZwcQIZ+0JbfBYOBXVlICo6nY5ovWupB8c7kc+v2+J5xSqTSi+NbX17G0tIRSqYRarebXa+52u560qSJJzlxWkXXWOtmBhQ4S1PzOtrH+Gxsbngxtn1lfM8/ZTWUrKVvfMo8NkbLey36/j3w+j9OnT6NaraJYLOL8+fNotVojA4P19fUDl087IiLizuPAErP6DC3haTBUtVrFgw8+iLe+9a0YHx/3pllLxjwvlK0rDWnzfm9EbefzeT9NS4mHypUmYKpjEhVJ3E6hssqXihW4HqG9sbGB9fV1dDodzM/P+5SiVm2SvMvlsievxcVFFItFFAoFT9gkJR0s0IzMunKwoIMHolAoeFJWH7UOSkLT0HQAZQdT1qce8jtbk7jdn8vlPKFPT08jn8+jWCziG9/4hl+601pr7IArIiIiIg0HhpgV9sUcyvOczWYxOTmJJ554Avfffz9KpdLIy5/l2PLsCz8Nehy/h17OWgZJVf2xwKivk6SohEf/N/3JVLFUoCRdfmf71b9KQkmSBM1m0xMr1SGVZrvdxmAwQKFQ8PXt9Xp+9SYuFEHi3tzcxOrqKrLZLMbGxgDAK2Fgi+Romg+5HtgP2WzWB1PpvG9OcdK50/be2f62wW38jYQIPOTrZ903NjaQzWbRaDTw+OOPwzmH559/HktLS/7YwWCAYrHo3SERERERu+FAELP6TdW/GDJn8oV88uRJfNM3fRNOnz4NAKkvTi2P3y3pAtvVl77I9cWvdUmSxCtiDeSyc4Rp1rWJTHieBi31ej1vQmW9uJQkg7SoclWJkyyTJEG9Xvd1o5+aipvm7GKx6K/BwQBzS/OvVquNWC46nY6P4OYxTHe5ubmJfD7viVizbKnpm0qZZbD93M7j7eBMzd+qslUlWzK2U8sILZt1r9VqeOyxx5AkCZ599lm0221/7Pr6egwEi4iIuGHc88Ssc09tYJa+UPnCL5VKePDBB/H2t78dk5OTPupYzw35ofW/mmOVtAmr/EJ+z0wmM7LqFAmZ55AQaVYPBatRtZKUNzY2UK/XR1Qd20Ei1YAwKmEGj+nAQuc0K2kOBgPU63WUSiWfCSybzWJqagorKyu+blpPWiOo6pm8Q5Unzei8jvX7qj+ZpM62A1tErRHeHGTYe6f3IaSG9R4qKWsMgLWCrK+vwzmHWq2Gxx9/HJubm3juuefQarV8eYVCwUf1R0REROyEe56YgZ1zIivq9Toee+wxPP744yiXy950bee/6vlp2Z3UdGpNqBpUxO9qOs7lcp4ILUGQWNRUrSBZkRi73a5fQ5hqlhHTmUzGt5HXVWWpQVz0VZPsSIaFQmHE78tAMZIy607VqAMBggMZDoDYV6VSybeX1+z3+94XTpIO+Yd5D2xkOROc0Kxv+9HeRy3buifUUmAJWe+1c85fr1Kp4NFHH0W328VLL72ETqcDYCtgTIPJIiIiItJwTxPzbnNbVbmNj4/j7W9/Ox555BFks9mRaSwkRCqk0DX0OvbFHFJmdu40TcrFYtFfjyZnTWaRRsha13w+74Os2A4SXCaTQafTQT6fHyF6JTiNhuZ1STy9Xs+TO4ARk3Wv10O9XvdzlFlPRmQXi0WvVEulkr8+CZL1ZHtzuRza7TaazSYymQzGx8f94IFBeJlMxkeFs+30N6sy5uBE51HrNDKqcmvCti4O/S1ZF4kO1nSwxW1Eo9HAmTNn0Gw28frrr3tSZvnRpB0REbET7lliVpJJMzOSkI4cOYJ3v/vd3p+sU3u0POuTDqlua6JWZaz10s8kE42oJskA10mDqistqIxKm6bhVquFTqfj/bvVatXXp9froVKp+AAu+qbVZM160wdN8zD7sVareXM3I7/Hx8dHpj1plisSDtXyYDDA/Pw8crmcJ231p9PH7NxWNHav1/OR3fT568CCgxqSNeupfu2NjQ2fDESTr7Dv6B4ImbrTVLOSMvuNdbOBZDT7Hz16FLOzs+j3+1haWvLWAt6PiIiIiDTcs8Rs1W1atqjZ2Vm84x3vwH333Tdi4iT0xRoyV4bK5nkaJGRf3lRUVLdUyKw3SWN9fX1kTjHLZhl8matpF9hSr61Wy1+3WCyOrBtMPy7L0/nEwPX53blcDuVy2UdbU2VSPVPpsWz1T2u/FAoFAPA+czWHk7x5bKlU8qb3tbU1VCoV5PN5rKysoFQqYXJycsTUrwMXWhhoEWD92B6qYvX9st0a7a5zr218gg0YC/1e7PF635iE5Pjx45ifn8fGxoZf15mDhDi3OSIiIg33LDFbM7JVOtlsFrOzs3jPe96DY8eObfMlswz9HyrHvpytola/tE4/IpHaYCWdvtTv94MLYWiduHiEqkwqQ5IUiTefz3tlpsFpLFOzapHcSGzFYhHNZtOTP4mtXC77AY1dvIJtZnkciKgfe3p6eiS3OKOyB4MBVlZWsLKy4r9Xq1XfL9xGUueggWTKQQ77lAMeKmk1nbMfNfBufX3dq3gO1tTUrIFfoQAwtZTwXBuXMDU1hXq9jpWVFYyNjWFtbc3XOyIiIiIN9xwxh9StVbmcDvWud71rhJT1HKu4QyZkPd4eZwmU26gYc7ncSCYuLvLAKHCdy2uvS3XZ6XSwubmJUqkEACOmWuB6pDmJcnl52e+r1+uecEjo2sbBYOCjhDmIqNfr/hokOQ1YGgwGPsCsUqkA2HILdLtdb65WFa0maCp4zTKWJImPzuaAgpHmanJm/+l0KbYtl8uNKGP2PX3Leq84COHvh35ptk3rbtud9ltRX7P+Fjj/+8yZMz6fdrVa9ak7eU8iIiIiLO5JYtb/Cr6ojx07hne+8504duzYiEq0Zkp9aavyBcLmaRtprfVg1DNNuprlilm2SKo6F9maSQF4cjl37hzm5+fx5JNPYnJy0h/T6XS8SuN0pG6364PBpqamMDExAQAjAU9qQuc2DhBoYtb53KogNUCM29gmmr3ZL+qnVv+yBrrR/D02NjayrVwu+6lFNm82zdckNZZHUmU9uZ2KmoMwu6gHByW899wPXFfaen/0N2J/G/pb0N/H9PQ0pqam8OKLL6JcLqNer2NtbQ2FQsFHbEdEREQo7jlitsFeJBj6JGdnZ/He974Xs7OzPiDJmh+VTK25l6Di08AeTeYBjJJ3oVDwpEylrItNMMqYBBdS5xsbG3j99ddRKBRw5swZjI2NodlsjpAlCZDKknWqVqs+uI0Ku9PpjEQhW9M7oVO5lMjoh2Xf6nQvLVd9pjyXAxCqfwa+0aQPAGNjY35AwXIrlYoPEmNEOK0AVJoaYa4DASpqKmEezznfmqzFOYd6vY5isYhWq+Wj0XVZS/3N2TgDJWGNzFbCpnvh2LFjeO2119But1Gr1dBoNNBsNqNqjoiICGJXYnbO/SqA7wMwlyTJW4bbJgH8DoAzAC4A+MEkSZbc1hvpXwP4IIA2gP8qSZIv367K2kCcYV38H33KMzMzwWlHNqhHX7Y6jcdG2nIb66D1oV9VCYQqmecxwCsU8MM6bWxs4Ktf/SouXLiAWq2GcrmM48ePY3Jy0kdNcwDA/6p2geuEzGvaLFfaX6wngBEyYvlJknjCHAwGI35uNRPTp0xl7JwbySLGQQr32WvT5K/b1HdMVauqXMnQQgcg6pOnwtZUoowep1meUeFqQtcBWpqrw6po1oEDg+npadTrdXQ6HbRaLTQaDR+Yt7a2FmzHncJ+ep4jIiLCuJEolF8D8AGz7WcA/HmSJA8D+PPhdwD4XgAPD/8+DOAXb081RxeeUILlvomJCTz55JM4fvy4DxQi7AtUyVV9g3qtkIlZy6LCo89UlbuaWDudjk8CwmNs2knnHJaXl3Hx4kV/PKN4VcUCW75WRjHTB0y/Ngmo1+v51Jyq8Gw+ajuFaGNjA+12G61WC+1229eZgxydG03iZtls7/r6OrrdblBh2sAx3ksN3rKky2urO8LeixAYBc/jNP0niZ73IpfLoVqt+mQqWucQKaspXNvF4xVJspV0ZHx83N+jZrOJQqHg799dxq9hHzzPERER6dj1rZAkyX8CsGg2fwjArw8//zqAvyXbfyPZwl8BGHfOHbtNdfUvPiVkLo7wzne+E6dOnfIEM6y7P86mnFQ/M4+x/kT9zGvp53K57NWuRl1TNfb7/ZGpUDbBhF6j0WhgZmYGlUoFlUoFpVLJE5KuqqTnOQnQ4mCE+ap5vEaH25ScjLS2BMfPJF/6rrvdLrrdrp+qxb5mm2gV0AU0OLBQqJLmd5ssRvuV/60FQF0KoW0aJKjTzGi2pmqm1YO+cJ1WFUo6w+3cpwMKdbOwHoVCAZOTk75f+v0+Op0OqtUqqtXqtrLvJPbT8xwRERHGzfqYZ5IkuTz8fAXAzPDzCQCvyXEXh9su4xahPk4lkUqlgre+9a144IEH/Aufx1s/oFXaPI7H6NQje76+4El26i+mD5Nm5JBqJHRQwHOr1Sq+5Vu+BdeuXUOn00GtVvOKl75amnaVLOhTVeIiIXObEqAqutD0Me0ja5q1bbFl07fMdKE0eVPREzqQ0X62AWWsr07JUksI68Y227rY3w7bTIXfbDb9gh1JspWtjItPsL48Pq0P7G/D/q44QKnX6yP3rd1uI5/PY3x83K/jvIe4689zREREOm45+CtJksQ594Yz8zvnPowt89iusC/e4XWRz+fx4IMP4s1vfjNyudxIkFRIDVs1I3UZedkymMjuZxARg4SA0fmxzjkfzGTrasnZzo3O5XIYHx/H+Pg4NjY20O120Ww2R1aJIvFRhQEY8V0rkVG928AxCzXVhnyl1j/N6+h3flbi0YQi/G8HRzYBCIARBa6qWqEKm/+tJSXU72op4ABsYWEBjUZj24BH2xW6fzroYtt3QrlcRj6fR6/X8+e2222Mj4/77fsBt+N5LqFy2+sVEXGYcLPEfNU5dyxJkstD09bccPslAKfkuJPDbduQJMlHAHwEAG70RaAv92w2izNnzuCtb33rSApHNXfrCzP0wg2RzrBu20gIGJ1Lq1NygOs+zZ1esKGBgVWTvA6VFgBv/sxkMp74OScYuL6OM9UmE2hoSkqtg7ZXiTFELlYlpg0y2NdUyqyPtkGPp/rlQEMHKiG/v70ejwsRpz035IumP35lZWXER89Blx10aNtVwdtrhvzS9DOXy2U0m01f942NDTSbTRw9ehSvvabC9K7jtj7PDTcZl9CKiLgF3GzkyccB/Mjw848A+EPZ/nfdFt4LYEVMZDcFvvCtmpuamsITTzyBiYmJkTmnStzAdXOrmjm1bIUSghK6Tt1RUyjrwqCntGX9QoMCYEtVlkqlkelY1hyqdWIyD01OolHSJBid0xvyjxLqz90JaSSl55HUaMamFcCey3tDdwCjtemvZrBXmloOtSdtm7WUANsj+zc3N7G6uuoHPJohLgQ1nWsf6G/BWgGSZCvavV6vj/iukyTxvntaQPYId+15joiI2B03Ml3q3wH4DgBTzrmLAP4pgJ8H8DHn3I8BeAXADw4P/wS2placx9b0ih+91QraF+pgMPDr3p44cSI4LciSq8491iAjG3Bkzbc8h4RJFUozLc/l/OQbbQvLJClTDbNOVMB8iTONI0lap/pwmpdO8dnJ36rttNtJ7DYpi+0fhTV304yuPtYQWFfOXWYgmk2+wkGQDayyKja03dZVVTzrTR+9ZiOz/ULLgyVsJX7dZrGxsYF8Po8jR47g6tWr2wLfaOW4G9jr5zkiImJ37ErMSZL8cMqu9weOTQD85K1WSmFVTz6fx/33348HH3zQK0N9aYZejKFEImmmT2ue5HQoRhtrghOq0pAyVXLk9BybxYrnUTExIQWwRQbVatUrOuecn9bDaU7MjkVYc3HI1Gv/h+Y5qw9djw0Ro/ZVp9NBJpNBpVIZ6VMbIa3X4+CDU5XYn1whSu+x1oNlqnXEDqp08KX3WS0sbKvmsNaIaxtYZ8GBiO0fq5wzmQzGxsZQrVZ9qlVV2Uy2cqex189zRETE7tjXmb9CZDIzM4OHH37YJ4IIqRWrZFRB233W7KiRzXzpaxIPVYLqI2X53KdkwmNJBDovmefyuu122y/XqCZfVYb0Z2u2Lb1uiGwJ6+e2bUtbenInVahE1Ov1RiKybf20DvzM+urKUSTpnaZBaV+GTNBqZdG84nq/uI+WBw7ybB/Y5DPWZRL6rWn/JEmCarWKWq2GlZUVr5JZv36/j2KxuG+CwCIiIvYO+3qZG1VZfLExGxaAbS9FImTeVCVjt4VIWl/YvJaNNFZFan3ZPI7BYvzOwCISUKlUQq1W8+pwcXHR51BW1UdC7na76HQ6I2v6WnLfCeofV592sVj0xME+1OA2JhcJgSRJglxbW/PzqTWinuZ59aNz0KL3HNjKYsY53SGXROiesi5WmSup6r23ZM3Bjqb41Kh7vSf2+vq7YF3t76per6PRaIxkV9P+22M/c0RExD7BvlbMwPWXarFYxOTkJI4cOeLVMhAO8rEvTz3O+irTfJR8Sepx1odNUrGqW6FkAmxNkeECBtVq1ZuoWebMzMy21aT0Ba6ErPVVJZlWF0J95tp+RoNrClC9tipxDlQ04xjN9Zubm2i1WiiVSt5EnZaoQ2EtAOqrbrfbI/1MZWunS/EvNECx2zggoHrVZTBZZgg7DVB0v/6mBoOttKT1en3EmkD3TKlUQrVa3Q9zmiMiIvYY+5aY9SWayWRw5MgRVCoVTExMbDMbhqCkosdaIrdzlgH4F3RIifOlqmbW3ciQRMcsZRxYqN9ac0eT7HiMRoiTxNUErfXjNruKFJHL5Xx+a/W9r6+vo91ue/81/eosM2QmZkQ1LQm62AT9s2xjsVj0qlsHE3pv9P6o2mb/qIlZywgRsh1wsa307bMNIRKk5YP9nXaPd/K5px3LgD/ebyrlUqmE8fFxzM3NxVWnIiIOOfYtMRPOOYyPj3sFW6vVtgX4EGmKRaE+QFXMPF5XbOLxGilt/aO7kTLPpWm8Wq2i2+2iVCqNpNukAh0MttZJ5upMrI9tW6jNus8SKadVcdBBQuAUoSTZCt6qVCojPnDtQy3f9lMmk/FTpRhhzXOZv3tjY8MnaKFJXedr2zbptag60wKwlJSt0md/qH85NGhhWaqaraWA0EEN628HS2pZAa4PinTgR6WcJAnm5uZQKpUiMUdEHHLsS2LmSxvYMmE3Gg10Oh3Mzs6iUCiMLE7A4xVWgelxJJOQwtI5wXoOTbaqkOx0IhsoxGsMBgMfbctc1SQ+5sPWF7gu1ajTpdSfrvXWYK80BRhqh5qf7Zxv7X9to0YaWz8x66tpNnUKGNU3o5zZBwxsU9N06Po6WAjdYx0sqVLWbQC8j1/bzO1cfYp14b2x06WsSX833772xebmpo8rSJLE5+emTz4iIiJiXxIzcP1lPDEx4V+as7OzAMKZuezLGcDIix4Y9RmGTI+qzFieJWqSlyb5sOSsil5f2Izi1nm0WleShlXkSvIWJBPntqZdkUiULFhnzpdW0tHrqeK017BBWur/JdgWkqglMAW3q8rkOXago32g1g1771g/DYazAzNV6god3LBeoYFfyE9N0/tO5mxaBkqlEhqNBvL5vF8UhMF8nGq2trYWXCI0IiLicGBfRmVrsEyxWES73caxY8cwOzu77eXMz1SASnZUOkpANlqWIMEpcdkIYpajAVlaZ17Lbidx0JSppKZqFBhdCjIUCa0Kn+fTDF6tVkeSn+j0KX4HRiOsOSAgcYd8yfyvxKbtJalpVLqauHmOkpoq65ALgmSnyt4OdFi+krJFr9dDp9MZSVyiU7MIDVxz7vq61xycsV/TIu/toNCCfTQ1NYWHHnoI9XrdK2W1WuTzeR8ZHxERcTix7xSzmi0nJiZ8Xuj77rsPmUxmZA1g/a/mY2sGBdLzX/PFqqsJadpEACNmVJ0/HKo7kclkfBAV92mKSjWLcj8Jmtts8hBbb5bT7XZ9gJWaj5UcmSmM5yjJWUKlpYFK2fYd/eBMdqJzgEN+fdbXptm0pE9LBLepKVoHL7qeMs8JWVD6/T6WlpawuLiIcrmM48ePo16vb+trDsI4ZUrvmbZH+yuU1ETvIwDfNyR9nj8xMYHx8XEsLCzg7NmzeO2113yZ6+vrI/cqIiLi8GHfETNfdNVqFcViESsrKzh69CgmJia8adJG8+q8XG4P+SBD/lPgunqjclSi1nL44t5pOgvLpiJTdUay4FrGVMWFQsFHLVvTtfo5rVrTwYL6cq0ZmITJLFeqdHWqFvvK3ovQPVICtb5qdQFoOTaK3Qbx6f3kvWB6UJI/LQ68HyE3Bful2+1ibm4O8/PzPugsk8l4cua1ee+tNYSDCSKXy424A9hGaxrnvbJLkNKCQ5KemppCo9FAo9HAuXPndv1tRUREHA7sO1M2X75cp9Y5h9OnT/spRzxGTYh8CerL0B5DIlJCAEYXjlBVqmTPF69dZIHHKdKCp0gE3W7Xt2t9fR2dTgftdttvU+WoxBUiHpp51Z9rX+yWyFhvqms1UdMkzGxmNjhO20LVzKhkWgO0v7U/0wLyONjRnOcsh/3NQYBaMjigsfVT/3az2cTy8jJarRa63S7W1tawvLw8Mv9ZBy68NvtI3QIhvzn7U/3R3G6hwWM8hjm0H3/8cTz22GO+7Onp6W0ujIiIiMODfUfMzjmUy2W/lvCRI0dw8uRJAKNZnSxRqElbX7aK0HZdopCqLxRgRKVDtaPkq/91OgyVN0mMSTI4/1dN2ySnNJVKKDFouzXIypqMSYT0nVIlq6rnddWkq0Rv+5JtsqZnVed6fT1PFbP1HSvBA6PmfD3WBqpxuwbusR7FYhG1Ws37bjVXtiVLm9pzp2hr7fMQkYZcJlou+yybzeLRRx/F/fff71X71NRU6nUjIiIONvadKTuXy6HRaKDVaiGbzeL+++/3U1h03iyQnr/Z+jk1OEj3MQiK6kXNu+p7JuFoAJH6G5WYdVpMiHypkgaDAdbW1gAA5XLZK1htWyjwS6PE1TSsAwtdIIPKk0RsVawSG9U1l5e0bWV7ee76+rqfk61zk5VASfY049t7oMqV9WNSknw+j36/P5LGVBOs2N+A7at6vY7x8XFUq1UcPXoU09PTPplHKFCNZXG+NfvGpulMGzhpZDcHCHaBC+B6UCL7YjDYSnzy1re+FWtra+j1emg0Grh27VrwOhEREQcb+4qYnXOoVqt+QfkjR45gdnZ2x9V9VA1aFQ0geK5VWSQxVTVq2gWuKzeqXTUL6wueqpp1YmR5JpNBuVxGp9PxxELLALB9EQT112rUrw1AItFyIKDn0dSrStxOTwLgTdEMOlLfrZr0VUlyIMCoYhtxbv2/ahZPU/PsYx3MKMEp8YVM5Tp1CQDGx8d9X1ar1ZG1r1m+HZxwmyVfDnrop1dY1whBX7QdcNmy2a7x8XE89NBDeP755/1gJG3gERERcXCxr4g5l8v5IK96vY6pqSm/HKL1swLbI7NDpus0UyTNzUx9STVmI7IB+GOsAlKCAK4T0Pr6OlZWVtBut1EqlXz+a+ZKZnnqZyUBq6okySkppfnTmUKTxMTpWdon1gLA6xcKhRFSVZ+6+lapkHWgQ5M220CSVvWpwXS2b/VeafS7RpRrezXYTKO4Q1YSYIucabJXH3GI8FS907KhrgEOUjStZ6gdoTaGyJhQZX7s2DFcuXIFCwsLvq0RERGHC/uKmLncIZXzzMzMyItRlTAwutwgsH16C2HPIflYlcmXJf3ESgg0N6r/kiSqZELzdaFQQLvdRrPZRKVSQbFYHAliUnXKdmgwFdWZqmWSrS5uQbLmi5/TfZTk7BKMNrqdfmc9hkpf+5B91e12R/JNA6PTtjQDmA5cLFnx3tr7w36x+citO8HeU60/y9XgNzWBW8Ws0dKaflWvYbcp1J2h9yM0CFGrBq/P+1Gv13H8+HF/HyMxR0QcPuwbYs5ktuYtM2VhJpPB0aNHtxGvwvo0gfB8ZX35krRCZmzWg1NrSMqcIqNRwJubm56oNTEFsEWE9XrdE0S1WgVw3dSt6ku3KbFzgKJ10zqyDVZNqvLX+cpU0SQMJShVita0rP2pEdKqinWAoD50IkkS36c64FF1zv5hvTWzGutpI9ND8QbWVKzzrGmG7vf7I/dSBysamKYWC3WN6GBO3RnWxG7rbLOfWTM8BwRHjx5Fu91GPp+P6zNHRBxC7Bti5tJ3fLkfO3Zs2/KOCuuTDamuENS8zZcn56TyBW0zTiVJgnK57BfSsNdU4tIArLGxMa/aeBxf2iQwNcuqOXe3hR0YAc6lGrvd7kiQlEY1a5Q4iZXtUnO3/s/lcuj1er7/1fyrAwu2Seuv+bB5HRKU1kX9xyybKtmmPNX7xTroNpa1sbGBpaUltFotTE1NYWxsDMD1ZSr7/T4WFxdx9OhRPy9Zr8P+t4MwGyCmfah14gDAKl0bBGYjv9VdMT4+7tdtjoiIOHzYN8RcqVQwGAy8r5TpN4kQAQOj03RC+9OCwqieVE2pKqLZdH19Hfl83gd98VwNROK8X2B0Co2+tFXhaQCSDhKU8Kzyp4Lj+TqfulAooFAojExdUjNyt9v1yUs0IEmtESGFx7qp+VjLZX00+Yn2g/VFqwmcxKdRzOxHnbKk/RYKQtP+7Xa7ePnll3Hx4kX/G3rLW96CUqk0UmfNVW7LAa4PHrLZrF80hfVmW3VAYqPWOchTK4oNnLMDKKpmDgKPHj2Kxx57DJ/73OcQERFxuLBviFmjnSuVCiYnJ0dMqSE/sQ1ishG3FlRNfLmremZ5qjSpQCuVykgdVOnpNiVe++K30dY20IovdNbP+iaVQNfX13Ht2jW8/vrrWFhYwJkzZ/DQQw+hWCx6M7aq28Fg4Kf/WNVLZU7CUT+qNWtru5SgtO819STB40lwNC/bPlV/O9tqzdLqAlCFv76+jvn5eczNzSFJEp9Vi/ECtAzk83lMT08D2E6W+htR3zSX6LS/JRtcaAdndlCo53Kbxk5of0xNTaFeryMiIuLwYd8QM0lwfX0dp0+f9spZX3Y2UloVJ7Dd3KsvbvW98oWoGZ6oXqhcuE/JQMvkS5nKSvMia31t9LQSOglLFbslZTsgITEnSeLn+JI0SEC6oEe/3/ekqMFrDNDSudyhQRBhyYR1CSl+q4R5v1gOSVgHEKH2kkhV5atp3N6zwWCA06dPo1QqYWpqygfdqdmdZGnnQetAT+vBaW3tdnub2dr6pW3gl5YTInDdrm2iFeTEiRP+OYiIiDg82DfEzBewcw4zMzMjCsoSsPolVZ2ECEVVNX26GvTDYyyp8KXLoCV7HL/THwtcV9IhJWmDh9hW6xfWNilJa6BaoVDAxMQEqtWqD5bj8SRlJWztN43Upoq0Uc0ARoK81OSvRGoJVvuO5GdN+TxOg8dUKWvfcrBSLBa93znN98ypXSdOnPDBdkxYwvZotDjPC5XDBCOc1sYBD5fsVIsL22aDvtSEr/0V+k2kkffs7OxINH9ERMThwK4pOZ1zv+qcm3POPSvbfs45d8k59/Tw74Oy72edc+edc2edc99zoxVhoMv4+DhqtdrIYgL6cjN1G3mRh4K+rFpmefpSDi3HyH02aEfJyQZtlUqlkSlfqqKA60FEGlxmcy3bNimJqbLO5/OoVCreXAvAK+OQ2VWDvCyRaPv0M9U5MJolTRUxFZ69T3agpAMoew1Cy2K/9/t99Pv9EZ8u+5KDm0wm490fxWJxJBFIv99Hr9fzfaz3xJqy1RwPXI88p99Xr8uBjQ3ysr8ftov/dfCilg0dQHK/zQZ3O3C3nueIiIibx4089b8G4AOB7f8qSZK3Df8+AQDOuccA/BCAx4fn/L+dc9nAudtAcjly5MhIFDP/25fXSCPE1AyMLhNoj1VyVnJRc6cu9KAmTo3CVdWr5EzC1HM1aIvn6JSgjY0Nn6TD1rNQKHhfoyriEJHTT816kqDoe7YmfGtxAK4vjMEFNuw8Y16H/+3gw1ojlFjUykEFbM3nNpkKcH3hD+1DOz2tVqthYmICzjmfw5vT3OyALPS70H5khDvvIRW09rMlduuG0P1WNetvLkS86m7QhTRuE34Nd+F5joiIuHnsSsxJkvwnAIs3WN6HAPx2kiS9JEleBnAewLt3O4mqdXNzE5OTk3rtbSSoisuSFLezzDTfsN1PwgJGzY36otVkH+pfteXwPC7jaNf2VZJTc3PIr5zJbE3bqVQq27Jz6bFKPjpli/1KclG1qQqS7SZh9ft971Nln2mmMk0iYglO+5HX5rGsr5IW+9NGMKuZmH5pVbzlctnvy2az6HQ6WF5eHhk8ZTJbEfM0R9NdMhgMgtPw9N4z1SgjujWKXLONhSwoIdgIbn63AyOWyajyRx55JFjezeJuPM8RERG3hluxk/1959wzQ9PYxHDbCQCvyTEXh9u2wTn3YefcF51zX5RtKJVK23yICiVrzS5lj1dlZIN/7HfN9MQ5uDRVWr+ffQmnqUmSqq7mFFL81rRJcB4w03sSJCK71CLB7Zzipf5Z+kgrlYpXYlTHqt5DJmklWduXrJfWT10A2ib2LVU8j7F+et5X9ouWz/86UGi323j55Zf9PeJ8aLVk0Lwdihy397DX66HVavnBlQ44NKJeidnei7SyVTXb37CSez6f9yb0u4Db9jyvIyZFiYi4FdwsMf8igAcBvA3AZQD/0xstIEmSjyRJ8s4kSd5JhQJcN2mn+Yx1nw20saSt5lt9+SnB2nSNagbmsVbhkaiA0Sk3qqozmcwIOYbUtUZ82+Unaa7tdrvodDojSk2TkDDLFglV68b663nMZGYHB85tRcQz0lsjydUEz238zzqwvXagwnZoHbSNJHFroVArgEVoYMB+aDab3q9sTeQkXJtKNYTNzU00m00/vYuDh9B9DJnGFSHzuZqxQ31M3KUkI7f1ec6juPsJERERqbipqOwkSa7ys3PulwH8x+HXSwBOyaEnh9tupMwR86WqNhu0YwOV1BzIfXo+VatGQlvfpp5DsuF2NcNactdtjLC2dVF1qucr2dNUDYwOFlimkpBeQ4OHqBKtX1fLtQMAVaUsSwcyWp6ackkkHPzQ0kAitveT/7X9bGPaghBqfdC+0gQgLKNareLMmTO+TrwfBAck2g7tJ+1btn19fR3NZtObs/W4wWDgs67ZgDRr4g9ZcrQP9fes1wj59+8E7sTzHBERcfO4KWJ2zh1LkuTy8OsPAGCE58cB/JZz7hcAHAfwMIC/3q08KlT6N9N8l/YFNqzLthdf6EVH4tWIXFWySnClUmnkBZ1WNvfbl6s1x5JM1Bqgc6UB+IUveI4qSn3xA+GcyzRHa0CWmp2VhELBXzr4UfLRNaR1MKR9odYFmtJJPOxrO5Cy0914n0K+fuuH1ahrfs/n8zhy5AhWV1fRbrdRqVR831FNa/pTvQbLVgVPkzcDyNQsrn5x26fal7rdDgKsO0Xbt1OQ2p3A7X6eIyIibg27ErNz7t8B+A4AU865iwD+KYDvcM69DUAC4AKAHweAJEm+7pz7GIBvANgA8JNJktzQ8jh8SXKReKooq2xD5GzqO/LdRsqyjFAwGee6WuLVz1qWBiVZM6VVTHbwQNNvqN7Wx6pt0WuRHKhW7TVtsBqtBVqemvvV16yqOjRQ0rppH+v9ISHSPM5+CwXl6f1R2IApDXKjhYB+4FKphG63i9deew3FYhHHjx9HpVIBAJ8TWy0vvFckZOtHB65bOXicDpLsb5Ow91/7Stuu98X2x50i5rv1PEdE7CVcLodX/rt3o/9QB8VzZZz+f/41knsoH8CuxJwkyQ8HNv/KDsf/jwD+xzdSiSRJ0Gw2MT4+joWFBUxNTfl9IYXMcyxJh16QIX8g9+l/vrQ1oYhVekrSul9frmoetoE9Wi9L+NoXeo00dc7ra85sew2qXBKrKjRVyLyu9gXrbwPX1ATLujCgi8FqJDCuR10ul73fN3RPVH2GTOfW7MxzuPIS7yt9+keOHEG32/X+2U6n48u20AxoOq3NqlfrwrC+cltfLV/vb1od2Bd6fIj0bxV343mOiNhLbL7vHXjxh7P42gd/AbVMCc33dfFNkz+Nh/7BU8BdsEDdDtze7AW3AL7wGbRj/aQ2UEcDrZQA7ZxR/tfpPkqGJBuagFU5WTJQky3PtSZsQl/S1gwfqiOvQaiq122q2Ow8Wq1XyISqdbaf6Ztlv5ZKJZ+sQ9Ub99Pvq35bEjVVt5JqoVDwK3Rp7mpbR/2cdi/Zl1o/7uOUu9nZWX/frTomGDXPcmiG17qo+VzPZx3YN9xuj9OkMpo0h+WHAtz0/tzFqOyIiHse/Q+8C//wl38TL3/fL6OW2cqIWMuU8Jsf+l+QffDM3lbuDWDfELM13elLmS83PU7XMFYfpL447flajgYOcR+Dvqz65TF6LVWcaerXqkM9ToOsVJWr/zFkIue5mjVMVR3r1+/30Ww2R+ZJW98m66LX59Qk7Z9isYhyuYxSqTRC2Lav1UxMwmSyDxJfsVj0wXiEc9ej0q0Z2IKR1Z1Ox/vutf72WM0Qxr5T/zstC3ZFqVKpNLI95Naw5mkdeOl1+J8DEr2+HVwBo/nZv+M7vmPbEqARERHbsfE3n8Q//p9/Ax+obJ+u995SFs/9w+k9qNXNYV8Qs3POp7IcGxsbURFW8YWULAlFid0Sj0ZGW6ifUZWnXk9NjZbItBzdb+ujL+80v2xI0VpfMn3B9Juq6Zx+b/ZLu91Gq9UaOdcGeCmZ87rdbhfOOU/EVJdcA5qkpUlUAIyoQg6gtI+4Tadl2QFLyHyrClSne5HwWX+bjlTPU5LmeaFAOtaRdbLpPzW5igbS6TXYVh0M2qQurD/L1fvC30pUzBERu8PlcnjphzJBUib+fx/8BWSeeNNdrNXNY18MxbPZrM/kdPTo0W0vOyDsP7ZlaHAOgBG/ob78aUbli5JmbiVK+wIlVCnbKGJVwNxnzddKzjQH68uY5dsoX9ZVzcQ8R83vAPyiFjSfMlBKk2zoHGg9joqZmctYd62znh9S9lSLGpVNwuv1ett81rx/dk643jeCEd/W6pAWKKVmZtZBs7FZFWz9xfSbW7O6+vtVPdt2hNS0bue1dR/hnPPz+yMiItKRqVXxH7/73wBIH8ieyFaQ5O+NjLL7gpjpW3744YdRq9VGFJG+LPmdsMRpzcxKkAD8C5kmVaZdZB30hW3rp+ZsNYuGTMLA9cxdluTtd5atJlySiZrPSa66qISqLdbFposk+bNOJLV+v498Pj/SrkxmK9WlZuSyoIpTH6sel8vl/CpYVO+WPHVgof1l77MN1FOztU1laonTqlaNEeB5GtymVgZeX0lZ28t+YNu4apkNwtOBJe+VBuLpcTxGBwa5XA5/+qd/GleXioi4XcjsCyPxrtgXxLy5uYl6vY6TJ0+OKEHgesYmYPuKRJYc1NxsFa31Q3Kea7PZHPHt6rH8rAre+hv5Qk/zI6u/2n5WQlNyYJ+wfJquNYGImqCV+JxznryVlFmmXp+rNtGKEAqyUx88/aTaDnuvNLmHKlXrakiDDdTSQQO36/1RdU41r+WwXno/2VbWyw7I1H3A8+0ATO9VyISu5VnFrtDBFett4y0iIiJuHVmXwdr/rYVaaAmXfYZ9QczOOdx///1oNBojpjtrVrSmP+u/JfRYkpCue5wkiQ/w6ff7fjoNj+c5Srp2MKD10rqwPiQMEpISt5pAebxVUawzF2Ggb1incvG/tSoQIZOq9WE65/wCDUp6mr2LvudSqbRN1bIP1PTLBUm0D7rdrlf+dtCk9w0YJUIbpc02cL1kVd9aDwvdpkSuU5X0PvK6midb262DBR4fuq7WS60b2tc06aui5rVD9zUiIuLm8ODYPK7uftieY18Qcy6Xw4kTJ0ZUh/pVge3Rw9xmwRefmgd1PjL30U9aq9XQbDb9Pp6jBJaWalEJ0QZ6kXxVwSuBaJv0u5qvlXjULK6qUqN7Q35xJQJCp5rRj6z+YJbHQQEAVKvVbe23AxZen2Z2+pOB7RmwLInaeiqBMyOaTRkauv/W/K11VfeGDkBC98paMPSeaxlqrrd9rvXQQaW1rnC7pkylKTsSc0TE4cO+IOZisYhSqbRtnqdVkKHPlqRtMBYjaPki1GAnmjULhYI366rZkdC5vNY8rYFAhL6klQCszzukuFkmSVGD32zuZL2OEobtB/uf5EmzNPsjtLiDKj0lFw3g4jb1a1szrB0oWYVpBw+q4vmZxMx+CQ1W1Ier6lddCfpbYdCcWkl0kBPqY+tuIKlqO60ZXgc+BM/R+8Z2ZTIZnzI2IiLicGFfEDNJYiefWsicuJuKJgFogA+hqqhSqWwrL0S+aormMUqIoZe4Vcd6viULvrjps9SAJKuGQyZefrZ9QeuDqkF+JiFns1lvqua85W63i8XFxW0mY6v+9JocXCkZsS32WO0L/ucgitOwdHlLls9z1R/LMkI5q0MDOe07G/gVGpyFykzzx4csFzYAzfqz2ReqkjXuISIi4vBgXxCzmg1VmRLWB5umxixx0WRt1Qt9tlSLOg9XfatWOZLQ9OVMBWjJ2xK8VZmWBHRakxINrwmMRp1rv9lkKXagoKTNqVC5XA79ft+v0Vyv11Eul1Eul1GpVDxJv/jii7h69Sp6vZ73y1vlrP3L67Mt1mwcGqCoSZ7TsGyaTPYpp0tZP7b9zQDXAwd5T3VgQtVdKBR8XayaZhvVjZH227SJQuzx1nytpnNL5LxHcQ5zRMThxL4g5na7ve3ldiNKIWRa5XcqKw3e0TL5cldYc7C+MPVFa/3KIQWsn9UETWJQMtEXuCVXTXoS8q+qL1qRFohEcqOSzWazmJycRKPRQLFYxGAwQKfTQbvdRqFQwNGjR5HJZLC0tOSVtZ2/zM9U+iRNrYcdTFnFqYqRfzaamv9p2mZWMfVfW/O4nq+WBS3fmqft70iD2rrd7kg+cA0kC/mV7aDJDrpYNu+19sn6+jpWV1eD9zEiIuLgYl8Qs/oHgXB2LkJfoprMwZosrblZV1GiD1cJ1gZ8KbGqb1B9pTbwiS9bS7xKxhpcxfJ1dSgSH+uhqtL6U4HrSjvkw9S+4DkkpF6vh1wuh5mZGYyPj8O5rWQW3W53JANYLpdDo9FAqVTC/Py8n2OuJlcSJBeV4PXs/bTWBCVtS1DWFKz3X89V4tN7xPtmSVPPBTCSRIXl24U7aOZnKlH2j83yFoIOSGzZ6o8PBe9duHABX/rSl4LlRkREXMeg1cGH/vIncP59/5+9rsptwb4gZmC7GZqwJkV9AVoSCqkWvgR5LAmFpNntdlEsFreZr0P1sSZk65vkefalTkK2vlUGMmmyDE0couRvzfgk9nw+j/X1dXS73V1JmYFU7NcjR47g9OnTGAwGWFhYQLfb9T5n1r/b7aLX66FSqWB6ehrtdtuveaxm+H6/j8Fg4DO4MeiOal5The5070P+dAudp071b9VxiJC1fPYB/3RgxgEOzy+VSqjVar5sVfIhQraDAHV7sAx12/DeaJvz+by/ZkRExM5I1vuo/nUZeN9e1+T2YN8Qsw3kSTsG2J5YRInOHsvP6uuln5kkYtWoqm/rE9TttkwNbFIyt4k9+OJXhcvocKsWNUgLGE3moYqe+9TEquVrvdfX11EqlTAxMYFsNotOp+P9zXZKEgcv/X4f5XIZ1WoVxWIRa2traLVa6PV6I+SSFjhlI8otrLXB+mktrP/YuhjsAI1lqa/XJg7RAQHrA2zN3+YgSqff2bJ2mzeu/aK/G/3MAU0ul0O1Wt3WjxEREWGUlhJc3mjiWO7eH9Dui5DPzc1NbwYl9IXEF69VU9YPa89XUuV/vjzpX81ms36ebMh8rS/S0GdeR6OolaT15W2DvpSIuEiE+ldt0Jci9FIndJCifUM1nslkUKlU0Gg00O/3sba2hvX19W0ZrDiljHVotVpYWVlBv99HvV7HzMyMN4WzrgxeI6EzD7m9h9oXOq86FMRFf7glKT1O+0qPs+VZX76eq78d/nfO+UQ07A8N0rPT2qji9TcKjC7TaQcDek9ZRrFY9AOfiIiI3TH+G5/Hz135rh2P+dLH33KXanNr2BeKeX19HcvLyzhy5EiqGdu+xCyUjKwpVKcKKUlSOVoSDwUq6X9V7KqaVRHbQYGtv04hIhnv5qe0ql0VWpp/2Zp42Vdc1nBtbQ2dTmckGpwKMNQHJCGarY8fP45arYZvfOMbuHr16og7QM3X1lxtlakSM5Wptl1NvVTT7DOSpa0rwbJCap6DtdDgjkRcLBbR6XRQKBT8ddhfarHQ/t7t96r9onOyOciq1Wq4fPky2u12ahkRERE3js1kgFN/uoJ7wQa1L4gZ2D4nNqQk9DhguxoCRkmFxKc+SS1rfX0dlUplZAEFq8hDStzusy9Z7rfkzGNtGs1QBLqa1fV8NRerjzQt85deV1V8rVbDYLC12hMTjLD/STb8r5HhrAtV49raGqrVKk6ePImVlZWR+5c20ND7w3ukg4319XVv2lfiU+JSPzF982lq2frptSz9rhYMWiyU1LPZLFZXV/25GhtgA9kUen/VwmEHHVqfWq3ms65FREQcLuwbYg6tAJT2cld/Il+YVj2qemWyCvU7JsnWWsUkKO7jVCB9cVqFRVglrUjzUauiAjDy8g8db9W8JRO21w5oLNnrwGMwGHj1p+sza6S43g8SDyOKWS/2ebfb9UTa6XS8ad/Wg223i4IoQfPcXq8H57aC2+yASv3g7EvWx8YahPoh9Gd99hzs5PN5dLtdH73darW2LVgRCjxjH+pAisfq71wJmfeOgV9PPfUUIiIibg82sAmkhzDtK+wbYp6bm8Ps7OyOSouwx6j/MRRVbQlMX5btdtsTjlUuqhz1pW39pBpAZq/NOlEJAhhRoKHjQlCllWYe1sGKlm197Jubm1hbWxvZb9OWWjLknG/dx2A1zu/V+jMRiCrJUJv0s/YhA9E4TYmgeVz7LC3oj/vttZTE9TuPV/VeKBR8m5vNprcwWHeGglYGO+iwrhT9fekAIZ/Po1qt4qtf/eq2PouIiLg5PPYXH8bDz359r6txQ9g3xEwVoeZbfakRfKGF5siq35LQl6K+LPlS7Ha727JZ8Tx+twMB61PmZwaUsZ68Nk3FGplMQrOmeVVPdlAQGrSwL7Rcez6hCzbovGPbn0ogGuWtfackrwqSgxy216agTEM2m/XTtGw0NgcBem90IJbNZlPNyjYaXAdfVnWr2tUpY2xPs9kcUeWhefe8l6qWQybzENgWndIWERFx43hpbSq4/Zl+Fw/+4gDJev8u1+jmsGtUtnPulHPu0865bzjnvu6c+6nh9knn3J85514Y/p8YbnfOuX/jnDvvnHvGOfeOG6nIwsKCV2X60qUJUb/rwgPA9mUC+UJT06ndVigUUCwWAVzPv6w+W75AbY5oVXW6rq+aYlmGNUUzilfVbcg8TcKzSp11sGpblTvbqySjhObc9SQXmiiDfce+1KA0VeLWOgDAz6HWfmNZWsc0kPh4vgZD9Xo9P52L/aL9rcFjHNjZOADrfrCWD3sszdgcsCRJgmaz6ZPS6O/AmquV7NUkzgGMvW8sS/u9WCzir//6rzE3N5faZzeLu/U8R0TsBdx/P4nNZPuA9spGHZkvPb8HNbo53Mh0qQ0A/22SJI8BeC+An3TOPQbgZwD8eZIkDwP48+F3APheAA8P/z4M4BdvpCLXrl0bSZGpLzXgOuEy05W+5HSRBZq1Qwo39JJWItXIZN9BJnBHX6aWQJUk9EXNlzJ9uvyzgwU1cZL01RQbsiKQYG0QmE71ojpnKktdVYrgtUjEOligH5xEpaSdJImf51wsFv2UL1XuIXOv3gebV5r9qr5aJjqx94jH2ulIlnR5L+0giMpec6Tzd8R6tVottNvtbfEBamnQgYL+ZjTFqN5T/U3q74uBeWpev824K89zRMReIPOl5/HY5/6rkW1P93r4v/zf/x6Se2jq4a7EnCTJ5SRJvjz8vAbgOQAnAHwIwK8PD/t1AH9r+PlDAH4j2cJfARh3zh3b7TrtdttPt+ELkISQFsg0rNMIGaa9fJlhy/qINzevr+ZkzeJKbMBoHmVOpVGTqKpWLYegYtU5w0oIbJvOg1WFqN/Vb2wVuPrLeQ4HLEo+2s+2f62aY3tI3CQt7UclKhtQpX2g17R+V20X+4L93e120Ww20el0PEnrwI2BYqG+t9YDHmMHPkmSoNPp+HpSsVsLhvY1y7d9qipYz9FzrVk+n89jbGwM58+fvyNzmO/W8xwRsRdIej1sXK5gPdl6L7y83sSHf+6nMfFrn9/jmr0xvCEfs3PuDIC3A3gKwEySJJeHu64AmBl+PgHgNTnt4nDbZeyAdruNa9euYWxszBODqgZ90YfUMGEDo3g8I4epWrifEd0kGvWLUhHyOELVnFWy1nRMQtEXMU2uXAM6l8uhWCxuS5JhX9p8ySv5M2OXVaRKBNasbttps2ipwlU1b5W6JSkdCHCbDc5SSwKP1XthzcBK3NovLDdtmlhaUJi6FZxzXhlzAMABXKFQ8AF7tMaoaTtkWVHTuprE1RVgrTd6X7PZrVWlGo0GXnjhBdxp3MnnOSJir/DIP3kGj7qfRFLdwOxf5DDxW/cWKQNvgJidczUAvw/gp5MkWTWqNHHOvaF52865D2PLNAYAnjwzmYw3+4agqoTflSCUOIbX8dtV6el5+kLd2NjwGbLUh2j9mkoW+sJWQlNzrb7Mlcj5ErerKXHwoKZpS8oM4EojP7Y/FA2sJukkSUbI2QbgaZ+qn5rlW998v99Hr9cbuV7IlK39H1LwGqSn/9VUb03ylvhDvx+CgwLNTqbJRnQAYN0KNshOBw16D1kn1tUO9OyAq1gsIpPJ4DOf+Uyw/rcLd/J5LqFyO6saEfGGMGi38fBP/dVeV+OWcEPE7JzLY+sh/s0kSf79cPNV59yxJEkuD01bjFS5BOCUnH5yuG0ESZJ8BMBHhuUnSZJgYWHB79cXnyoxq5atmVv32e88n1NSlIw5Z5VmbyVMrYcSXMinaNWSms/1xaz+aiprDhxsmRoBrH3BQDL1xYcIUK9trQn2OqwrI515Xj6f32Y2d86NzIdWglaCDA0ctE8siaqa52/B+o95L0MDJXs9XtP2n/YRB4POuZG20gVA/7wGuelAK2Q61/ragaJaCui6yGazqNfr+OpXv3pHU3He6ee54SbvheRKERH7FjcSle0A/AqA55Ik+QXZ9XEAPzL8/CMA/lC2/123hfcCWBET2Y5YWloCMBqZrASnZBh6CRIhPx5w/WVoo7+VqPL5/Ei0spZhVaeafjUAiS90Eq4SnhIIr6kRviRbPc/6KKmUbZSvXkdh/a4aQEVyVeJX9U/itIMiTuvhtdRfrnWx94r7WIYdhOg91P6zAxBNY5pWvt2mgWV6Hfr8bV9wgKYKmsdqG/h70sGEHZil3Xfen3w+j2KxiJmZGbz66qvb7uHtwt18niMiIm4ON6KYvxXA3wHwNefc08Nt/wTAzwP4mHPuxwC8AuAHh/s+AeCDAM4DaAP40RutzKVLl3w6RoVO/7GRsdwPjBKyqiglUeZhDs39VZVHPyNBsiKJcpv1e9JvaUnZ1hUYTdpBEzCwRXKMouZ+Swz0fdq6h9Si7csk2ZqGRFVcLpexubnpiS6TyXhSYpk08WsyFl5L/b322va7Ek5oH++JBtdZawX70PYr+8DGIlhlq9CFOkjK9P/3+32fU5zJYawZW8/XeAhrvibBswx1Mai7hXnH7xQx4y4+zxERETeHXYk5SZLPAUjLDvH+wPEJgJ+8mcpsbm7i7NmzeMtb3jKiEG3UsFxrm2lW91k/MnCddPV4JW76XZXAeR6PY5lqjrR+WP2zdQauz53WetGEyvWNu90uAPjtJGYbmW3NwSQGNUWrKX8wGPgVpXTBCLZ9MBh4Rarla5Q8feIkMc2KleZeALZn7tI6p/nJgfDa2xwssVxuV588y7SDCIK/DZ3Xzn7m/eK1beyDEr2Wr/v1OnZgwH6mpaZSqWBpaQlf/vKXU/vvVnE3n+eIiIibw77J/AVsvcjm5uZSTdEh0zMQVolK2PRRsjyNvOVLWctnmb1eD6VSacQcy/9pao3qV4nXLlmoaonHatYzgi96XfNYzcXWPKr1suQDwLeX12Hijkwmg0ajgcFggHa77fvI9jcJuVwuo1KpIJfLYXFxEaurq+h0Or4PqSpV2YaCsiz57kakIYtJGsmHTOQc4PCe8HzGHLB/mT9ct6XVWeMGtK2WhNX6oANF7dt6vY5nn30WFy9e3NamiIiIw4N9RcwAsLy87F9uViWpOVtffPZlb03fafOT9cVPUzIjsmnm7fV6ntCUqPQ7X7ZU4zRhWxLlsbw2VTLzSqsCVBOoLSNEVNp+IkRyJCb1R3e7XQwGA79Ag/aJ9j3RarX8wg6rq6toNpu+j0LZrUIxADT5s53WFJ/WLu5XE7JG2msfhvrSpg/NZDJ+8KX3j78BnUdufze8hvqb9Xpad/729Biqfq7FffLkSXziE59ARETE4ca+I+bFxUW/6hOhL1tCideSnZqfLZTM1GdL0y2VIqO2Nce1DcIiwdiBhEbuWt94aN4u26Y+Si2bUKKladoiLfBJ20dS1EC6TqeDtbU1PzBhGwkdJHS7XXQ6HVSr1RGTr9bNBtiFFHzIBaEIDVR4DS3TBnOF+sC6Q0i8zIJmiTuXy3lLiLoPQoMjOwC0ajhtEKnnV6tVzMzM3JX5yxEREfsb+46Y19bW8PLLL+OJJ54Imj+B0dSKId/kTt9J3kqkNluVknM2m/ULXWjebg3sCalwNVWrSrVBa6GAJFVgrA/rB2BEfamfnSbzkGWBvmM1u9N/PzY2hmKxiGq1ipWVlVQLA88rl8t+4EI/OKOabWATI5j1Xmpf2HushKdEZ320em5oAGED+whNqsI5wzyP953bQwMGjVvQ9tj7o/UIETR/a4zqrlareP755yMxR0RE3FCu7LuO8+fPj7yMgfD8XOC64iCsCZbf1SRMRaqqlFOVSIL0NSZJ4pWm5qTW8jQiWU3YapINqThge9pRGzxkSZnX1naq0rMRwrlczi+daAcNAFAqlVCv13H69Gk8+uijfqUta0J3zqFUKmFsbAwPPPAAzpw5g0qlMrKfn0k6jCzXFKNshyZU0XqxT2xf2DgDAH7+tHUZhDK8sU0cmNhBFstiXRmHoBYOHXjoudYaoIMj7qd/nu1k3fL5PAqFAiYmJvCJT3wCKysrwd9JRETE4cG+U8zAlp+Zpla+GEMm0ZDvEtgenW2Vi6oygvNb6e+jr5QvUUYcAxghUlVBfPErUYf8wPri5veQYlTlac2kaWUSJDed4kRi2NzcRK/X82Sby+VQqVTQbDZ9MJwGR/G6PL/VaqFSqaBUKqFYLPqUo6GgPDslTKdUqfWC98Ca6LVv2Jca2W3vqZKx3hOez/bq4IyDMtZXLRDA9Qh6m/QmZDZXt4QuWGEHD5pHvFQqYWpqCl/84hcRERERsS+JeW1tDefPn8fjjz8OYFT18jv/h17SVmnZHNQh1cPzqZ74wt7c3ESxWEQ+nw+SC4mOySQsgSpCQUppStoSVkg96nUseakaYxs1Upr+c5LyysoKMpkMjh8/jtXVVSwuLo5M16rVaqhWqz5Qjf1VLBY9werKVLRE2EEQScr609W0HfJHq5Ug5FvX/rXxCCRI9oeWoVnLtG3sU61LKDrbxjeELB86YFHTOgcCU1NTWF5exje+8Y1guyIiIg4X9iUxDwYDnD17Fg8++ODIi9sSmY3U1fP1mNCLnrAqm+ZjJXNdAIPKh/utArTXty92DgxC5KJlWmJX9W39n6wP+4d1LRaLI8eRPEiApVIJpVIJSZL4ec2ZTAbT09OoVqu4dOkSut0uJiYmUKvVfFljY2NecbOP9TokfJpttd0kPwZVWaVvydkOYOz90+Ar3WZdHZrRi31BVcx0rCR1BgXaPraWEfXzh3zS1m2g2zX4bHx8HL/xG7/hE8xEREQcbuxLYgaAixcvotfroVwu+xchX7ZWdexk1iXZ2OAhjbTWc1QNkly43jAA7zNVf7IGXfFcq6DslBqrJDUwywZK2TzZNpjIKrUQKdNXzbazLhsbG+h0Op6c+/0+Go0GSqUSTp8+jcFggEKhgF6vh16vh36/760IbDt98BrctrGxgWKxiHq9jkKhgH6/j9XVVZ9ylO1im7VN2i/W7M996gdP62umubQBWDb5iPqb7TU1oQxhA/i0LLUYhILSCPrgx8bGkMvl8IUvfAERERERwD4m5m63i7Nnz+Kd73ynj5BW356apNUXC4xO0aEZ05pK1V9oI6y1LOecD5yiCbZSqWAwGHiy1sAvG2S2k9nZfk7zH6eZbhVU4cxgpb5SkqkSAwm92Wx6XzGxtrbmrQQaec36cQ4xI7FtAJ7eG9aHUe2rq6t+vvSN9JFGZwOj5uqQK4D3jWbrXC43MgWs3W778jXpjPqBNXgvLVOZwlpk7ICP/1Upk5gnJydx8eJFvPLKKzteIyIi4vBg3xIzALz44ot44oknRl6OSnwhv3MIGkAWepErYdnoZ5o5OW2JqTInJyd95Ha320W32/UKkudrlLH1e+r1SAo08SpC7dKBBMsH4Ak2n8/7SOwkuZ5AhKpWr9Hr9bC8vOzzZVNxcx1p+pF1vWKqXn6m8qXFgYS2vr6Odrvto5yTJMHY2Bjy+bwP8LP9ou0NBX7ZwYW1npDwyuWyn9ZF60ez2QwmreEgi32j1g97fXvftBz+t6Zr3cbPnCI1MzODX/mVXxmxaERERBxu7GtiXlpawtraGsbHx7epZOtzDgVbKdTMal+8NmKb+zkg4AufL+1Wq4V8Po+pqSkMBgNUq1V0u12srq6i3W6PBHepjzxUT12swfpLrX/VBq6puqcyrFQqqNVqyOfzXuGrT7zVao1EWANbCnl1ddWTPX3KtAiwDvPz8+h0Op6IufAF+03bQ1XY7XZ9AFq73UahUECpVEKj0UC73fbrSYeCutTCob51NcWzP0jIxWIRY2NjqNfrnuzK5TIWFhawuro6kmqUgwl7b0Lmc42ktkFtaYF5PF5/T6xnNpvF5OQkWq0WPv/5e28h94iIiDuHfU3MzWYT586dw7vf/e6Rl6YGE9moXUIVVsjfZyO41V8LXFfSJGcGhPGay8vLAIDZ2VlsbGygVquhUqlgbW0NrVbL57ceDAbbIn1D19eXOwnZrppllRi3cb5wvV5HtVpFkiTodDp+2hPVPP3t6h/XAQlV7vLyMsbGxkb8pa1WC81mc8R9wHpSiXPwpGqSqnlsbAyVSmVkWhrbrcso2vtofceWCFmPQqGA8fFxTE5O+vYzuO3KlStYWFgY6U+9LzawS60rNmKf17MDLBuYxz4OTd/KZrOoVCo4evQo/sN/+A9YW1vbdl8jIiIOL/Y1MQPAV77yFTzyyCMYHx/3L3UNeKKysWZgVVmW2PQlbPcpUVtS4HxgXn9xcRH9fh8nTpzwKnJ2dhatVgtLS0tot9teodnI4p0iyYmdCBm4HojGJCLFYtEn3CiXy5709JpqcWBeaDVVMxCKxE4Te7vdDprkOd2IxGV9xEmSoNlsevMyYwU4z5emZpah1ga1jKhi1cFMNptFqVTC5OQkyuWyV/6NRgO9Xg8XLlzwJmzWkQOBNLOz/q6s+ZzfdfpXaABoy+aAgmq5VqthY2MDH/vYx3b1YUdERBwu7Hti7vf7mJ+fx+TkpN9G1aEvP42UJjSi2SohDQhT2Bc2/aBM1EHVyaCkVquFl156CcePH8fY2JgntJMnT2J+fh4rKyt+Sg4JydZT62sDibTuhK6GxNSSjJLOZDL+c7PZRLfb9STCKUMkb7bVDkCcc1hdXcX4+DiALZLu9Xq+LpacVSkzVSfbw/uyvLyMZrOJYrGIcrm87R6lDUI02MtGZqtZPJPJoNPpoF6vI0kSXLt2DcvLy95Pruqe57M8a0LnPUhbhETvn+YEt5H5/K8DIvqW77//fnzqU5/C3Nzctt9BRETE4ca+J+aNjQ187nOfw/Hjx1GpVPwLLhQEZMlOI3rtZwtVs3ZxCTXLJknipwjxZbyxsYHXX38dy8vLmJmZAbBlhm80GigWi1hYWBhJWmIjuPmnOao1GYjmd04LOuKAoVQqod1uo9/vjwRXKbEwKQjTTmoEMo/lPg3oolWCZZG4SPghPznLo5qnqZ8qXU3GNrJe77P6oVV9si0k+GvXrqHb7frpXSyX9Vclr/3Na9jfVtoAir5urkSlv6s0cmZQXqPRwNjYGP7kT/5kW9kRERER+56Yga0gsMuXL+PRRx/15KjTXSwx6wuWBGdfsCRHVdEa3GMjv9VPzBcw1SCPa7VaeO2111Cr1dBoNDyRjY2NodlsotfrjRCYkrOqViUpjTpWAlESY18MBltLN+qxbI9eUxWcnYOrfcdjLXmroqRytWZ5G2BFIgWu+52B0bzYel3tZ71fbBODqJIk8UFkjBa3EdY81w4WVDGH7oG1UqifWRW8/lZ4jqZELRQKyOfzyOfzKJfLmJqawqc+9Sk899xziIiIiLC4J4gZAC5cuIBHHnnEf6dZ0JKVDfBR2KlQOjWGvj/Ncc3rWGgwmCWPXq/nk3bwhUwS4dQqrS8AH90cCgoL1UHJnEqQ9WYglJ6rgw01RSup2kUwuI2DDxuZDsD3f8i6wHpaBayKWskw1N+q4vVYtoGR8DxOYw2o9EMJQGw0trW2WIsKiVjroAMb61vmIIR/AEYsEGtra/joRz8aM31FREQEcc8Q8wsvvIA3v/nNOHXq1IhPMBTgpabItCArvoytcuI5u0Gjw5UseP1utzuy5jHPYX1USaoJWYmUdclkMn4goARH06ymjyQRKNKCx7QsDiqYopNmWraHwVoKO3iw/mftW92mkcq6oAShlgtVqTQH8zqMBgfg68vvdl6w+oYt+dsBkf5GbN/Z9uh9V0JmVrW1tTV0Oh10Oh1sbm7i6NGjePHFF3H+/PngPYmIiIi4Z4i50+ng6aefxn333bdtGpG+bG0krBJPWhS0fTnbz7ZcPV8HCRr4RPO3mqPVx5wkyYgpnPXdaYEGJW7guindkqIN5NL6c0CiZmEGt2lfqN9b66/+VULvg/WBW6gi12tquyx58v6pr52wAVp2cBCynCh0UMVra9l6nEKvyfnJhUIBmUwGvV4PKysrWF1dxfLyMlZWVvx8buccPvOZz4y4RiIiIiIU9wwxA8Arr7yCK1euYGZmxvs99U9JI+QTDYEkbIlYP4cIW4mN/6ngqGxJIMyOpf5l3R8KdNJBha2TXrNYLI6saqWwZKJqUP3yOnhgmk1Ov0qSBLVabWSuslXC6nPVfTdCiDaQzW7T+qoPmgMf9e/aOoZg+zrNJK3uDH63OcsB+DnkmczW1LS1tTUfE7G0tIROpwNgKyL+/vvvx6VLl3Dp0qXUfomIiIjY1WbrnDvlnPu0c+4bzrmvO+d+arj955xzl5xzTw//Pijn/Kxz7rxz7qxz7ntuV2W73S6++MUvbosOVuICRlMzhnAjpmpg+1xUez1exyo4EqWqIh08aNYtJTPnnA8SUhO4lmF9uKyXLo6RRoihADgd2CgJjo2N+fzW1WrVDwDUXGz7aqdr6T1iG23/qnK1AxBtI5OlcN/GxobPB27rovcmVKYSsZ3KpkperRm0hDAPeJIkWF5exoULF/DCCy/g5ZdfxoULF3ymtMFg4JOdPP3009t+r3cL++lZjoiISMeNKOYNAP9tkiRfds7VAXzJOfdnw33/KkmSf6kHO+ceA/BDAB4HcBzAp5xzjyRJsvtKDDeAc+fO4cknn8Ts7OxI0BFwPQJYCVSjZ6mCQtG5oVWEiJ1UFssNqWkAI4lP9Dg7aAiZUFlXrZcdHOixVKEhpayK2pKhbXu/3/cqH8BIHnCaY625X9OXpoHtp3lcp4SFzNfax9r//M5Bgg4orFpXX/1O/mT7G1GzuN5v+rnZD51OBwsLC7h06RJef/11nx2NgV0ciB09ehQvv/wylpaWUvvnLmBfPcsRERFh7ErMSZJcBnB5+HnNOfccgBM7nPIhAL+dJEkPwMvOufMA3g3gtiQE3tjYwJe+9CV8z/d8z7Z5sM6NTg1Sf2/ai1q37QZrbrYEz2spQduIZp26wzpaE7OqWC1LzfSEmpA1uExN1aF62vqpmRgArl275vNvr6+vjwRTqX/dEmHI58v/uk9zhOsxaglR/7mWr4rZIqTU2W/aJ/ZYDcaz06AYNU9S5iIfy8vLuHLlCl555RUsLCyMuDL4VywWMT4+jrGxMXzuc58L1vluYb89yxEREWHcmE13COfcGQBvB/DUcNPfd84945z7VefcxHDbCQCvyWkXsfPD/4Zx7tw5vPzyy6yTf6HyZWj9sgpLhISNOAa2+5uVwKx/06p3buc+TpfRa1lTNJWtlguMKk3rh+aUJVV2vK5dsEHBY62JeHNz0ycn6XQ6PqqY2ywhhpSstVqoyVwHBlS8vH8aoa0DLZrQOVeZyVR2Q+i61sKg9eY5vB6PIxlzatnKygpee+01PP/883j22Wfx+uuv+8VLlNQZEHbkyBF89atf9XO39wP2y7McERGxHTdMzM65GoDfB/DTSZKsAvhFAA8CeBu2RuH/0xu5sHPuw865LzrnvvhGzgOuZwPb2NgY8ceSBOgrtD5DnfcMXM+kZYmaRMP9VI4sy5IgsD3rE8/XFz6VnvqeSXZKGOq3VlO7NbtqhDc/67KT/K/TnkIDFpJxt9v1xBvKigVsTUNiek7dZ60TJFKqbapJJTxdmSrkDiAJ80/92zaaPUTUGkRHWAVul43Ue8CpT1xKs9vtYm5uDmfPnsXTTz+Nc+fOYWVlJRgZTyKfnJxEqVTChQsXttVvr3C7n+Vhmf55XkfvdlY3IuLQ4Yaisp1zeWw9yL+ZJMm/B4AkSa7K/l8G8B+HXy8BOCWnnxxuG0GSJB8B8JHh+W84GmZpaQlf//rX8cQTT7A81gXA6DQY9S0rAaRF4Np91tQa6J9UwmPddABAgrJRv/xOwrLTvEK+av63UcU8jmZXm7mMJl2SclpAl/Ul8xwuakE1STXPwLeQBYJlKrnqnGUOCngN9X8TVnXzeLs/dJya+e090nugZmtga7nK1dVVXLt2Da+//jquXr3q17jWdqnlhjmxJycn8dRTT+2bZCJ34lkeluGf54ab3JvotoiIA4JdidltvcV+BcBzSZL8gmw/NvRZAcAPAHh2+PnjAH7LOfcL2AoYeRjAX9/WWmPrhfqXf/mXeOCBBzA2NjayUIRVRVY1aXpFQo8NmX3535q30/YprB+WBEHfJX21NjBJBxtqslYfshKuqk3WT32nutIUp0XR3B0isbT26IBDiZMEa/tb22ED8EjGqvq1b63v3n4P1THUHvaL3gslVpIxiTlJEk/IS0tLuHr1Kq5cuYLV1dVtwXJqvmdfF4tFTE5O4tVXX8W1a9eC/Xi3sV+f5YiIiFHciGL+VgB/B8DXnHNPD7f9EwA/7Jx7G4AEwAUAPw4ASZJ83Tn3MQDfwFYU6E/eqSjOVquFZ599Ft/2bd/mI3xDaSL50t/NbA1sN5FaIrEvfBuoxDJDPl9+Jym4YWSxKnGqNNaJJBcym6u5WclPCZBtV594KCAsFKHM+dihPOEsxw5kWI71Aytp0bSu/W0JNq2feSy/azCXknUaOVtochAOktbW1rC8vOznJF+5cgXLy8sjqteWz4FSJrOV5rTRaCBJEjz//POpSWP2APv2WY6IiLgOl6aK7molbsKUTZTLZXzf930fHnvsMe/TpC8yFESlZDu8tj8mFLGtsMo3FOxlSVTauCNZWHO6RmxzsEETsfrTdVlEbaeWS2JISzlq+8X65EOBbXYAY7elIa1vdb/1b+9knlYw4ErrEhqI2diBTCbjV75aWlrC6uoqms0m5ufnsbS0hG63O/Jbsr51kjIJvtFo4OTJk3jmmWfw+uuv79onbxBfSpLknbe70NuJhptM3uPev9fViIjY9/hU8nvB5/meyvwVQqfTwSc+8QmcPn0ajUYDuVzOBw2RlFStAdtf1lbR8BxLCGmEogSi/0NlcL8STMhvzbrTXG3n2fI8JWVVi1TFNnVm2oINobbZdqQhZGVQaNT3buTNwYZV9Po/BLbf+qRDbdV81oPB1lrRc3Nzfv3q+fl5v5YzLRshE73Wiz7pQqGAEydOYHl5+U6QckRExCHAPU/MwJZJ+4/+6I/w/ve/H41GYyRntVV71jcZiuQOmVHTfJppPlDdpsfZz6xj2jm6EpIGeum5ljC0XcBo0NONECPP0fKpzG3wlCXiEEmHTLlaHusbmne9k8IO9a+qWT2Pipa/DRLy4uIiVlZW0G63sbCwgOXlZZ+ti9ewUd/6WSP7i8WiX4/76aefDndwRERExC44EMQMAOfPn8dgMMCZM2cwOTmJiYkJlEolTwDAdd8qyUXN2VwqkWShEcYE1ai+mNOCkljujUDPoWIkQoRuicqaoG25IbOujfhW6NQnlm8Jz650FSLTnQYB2mc7DRps2/T6O/ludUDB4DlaGNrtNlZWVrCysoLFxUXMzc1heXkZvV5v26Id1n+v1gp+p0l8fHwcR48exWc/+1m/vGdERETEG8WBIeaNjQ288sor6Pf73kxZLpdRqVRQqVRQr9dRq9U82fJlTfMjsPWyZX5oAD6fM/3WDFoK+aiJNDIOkXoISng7mb8tQtOK7DkhZWvVdyi3tGb4sj5WJdfd/Md6Toi8Q5YAe4xVsrZdLMcqZADo9XpoNptYXFzElStXcPnyZayuro7Mj2awHLB9UKR+fbYhm82iVCphcnISb3/72/GVr3wF8/PzO/ZBRERExE44MMQMbL14V1dX8aY3vQlzc3O4fPkynHNoNBo4ceIELl++jPn5eT9Fh+RdLpcxOTmJ8fFxVKtVXx79huVy2a9TTIJWP641YafBTokCtmcXUyUYMsva67G8kF/2RhU7j9c5xbyW7tdpXdxHImegmA4sgO15v0m4oWUP0ywBdp9eX5HP5z0hcy4451wz0vrq1au4evUqVlZW0Ov1RvqffWYju22MAttbq9W8Sn7Xu96F5557LpqwIyIibhkHipgBYHFxEb1eD+9973tx4cIFLC8vA9hamOHatWtYXl4eeemurKwAAF599VWUSiVMTExgcnISjUYDwNbLulQqoVwuY2xszK+MNBhcT914I9HIoUCwUJCY9eEC4QAmhZrfb5SMNSGJkryqYx5HP7H1req8cdZxtwFByOxt26iwwW7WDaER1krG3W4XrVYLzWYTy8vLuHbtGq5du+YVsu3/kOomVB0Xi0VUq1U0Gg1UKhWMj4/jySefRC6Xw2c/+9m4znJERMQt48ARM7Dlb37sscfwrd/6rXj22Wdx9uxZAEC1WkWr1fLzUTUwbH19Hd1uF8vLy3jttddQq9UwOTmJqakpbG5uYmVlBZcvX8bs7CzGx8eRz+dRLBaRy+U8ce0UdZw25ScULEYCuhGi3SmoLIQQEVqyZD2V/OzqVNa8rabx0LxmhS0v5Ee2pG+JmKpYVX6n0/Fk3Gq1sLS0hKWlJSwuLqLVanlSt1PLNHWqVccciJVKJVQqFVSrVW9BOXr0KN785jfj+PHj+Ef/6B/h6tWriIiIiLhVHEhiXllZwSc+8Qn8xE/8BL7lW74FlUoFZ8+eRalUwsmTJ7G2tobV1VX0er0Rclbz6+rqKlqtFpaXl3HkyBGUy2VsbGyg3W6jWq2iWq2iXq+jXq97gtaAMSonNYeGCDD0eadtIbwRpZw2cAgRtuYWt0F09vg0n7EeS5DUVbVaP7Iqb0vGem0ScbPZxNramndncD6yzkEOWSt431SV00xdq9VQLBZ9PEK5XMb4+DiOHz+OyclJVCoVrK+v41/8i38RSTkiIuK24Z5PMLJDmbjvvvvwnd/5nRgbG/MBP1RO6+vraLVaWF1dRafT8X5jG6SlEb2FQgHFYnHkpV0oFDA+Po7x8XFUKpWRucUkaRvZzXL5XQlIo4Ktf/ZmsFOylDTzra7SpQTKumt7tN92us6NDh40oEyJmP0KwN+7lZUVT76dTgfLy8t+ulMoKxqhBM3rcbGKer2OSqXiAwCz2Szq9TqOHTuGqakpZDIZH9G9ubmJL3zhC3jllVd2nOd9mxETjEREHBAc2AQjaUiSBBcuXMDv//7v48EHH8T09DRmZ2eRz+exurqKhYUFv1Zut9v1qqvb7W5TuwwW6/f7PqqXqqrRaKDb7WJhYQHVahXj4+Oo1+soFAooFArbpl1Zn3QoUEpzUYfIzJqC7fzmtHnFwM4+XQZvaSSzmnhtoBTLI/Gqr5uq2AaJqRnc+nF1VS3uZ3lcgrLZbKLdbqPdbqPT6WB1dRXLy8totVrelaABXFo+t/Ea+XwelUrFm6ZLpZI/vlarYWZmBtPT08jn837RlIWFBWxubmJqagovv/zyvlo1KiIi4mDgwBIzsby8jFdffRXz8/M4d+4c6vU6ZmdncezYMWSzWZ8TuVQq4ciRI+j1en4NYl0GERid16s+6StXrvgI3bW1NdRqNT89q1KpjKzlS580yYtEFVJc6mMl4YTm79opSzshRNSqjOlv1TKtFUFJk8pa/beh6yhUjWrUM8/Z2NhAq9XyaTL1XlAZr62todvtot/vj6h57TcbiMZ6VyoVNBoNlEqlkWjyWq2Go0eP4siRI8hkMlhdXcXzzz+PK1euoNlsYjAYoFQq4dixY1haWsJLL720Y19HRERE3AwOPDEnSYJr165hcnIS5XIZzWYTV69eRaVSwcTEBI4fP44TJ074F/Hi4iKKxSKA6ybTVquFXq/nE1CokmVkdqfT8efW63U//WpsbMwTNFU0MLqQhE6/shHWlmRsulBtJ8vl95DaVr8v/ancrkTW7/exvLyMy5cvY3l52Zvsx8bGfACUBk3RV0uCVYVsfbz6x/7rdrvo9XrodrveasHBD/3HDNzjilhsr9Y7FE3NaW/1eh1jY2O+HpoU5MiRIwC2BnJnz571C1dwShXV9dGjR9FqtfCVr3wlRmBHRETcERx4Yga2SGpxcRHHjh1DPp/H+vo6lpeXsbS0hNdeew3VahVTU1M4fvw4Tp8+jUwmg2aziZWVFf9C5/QopnAMRRUrSc/Pz6NQKKBWq2FsbAyNRgNHjhxBvV5HqVRCoVDwJuN8Pj9CyAD8AEB9t9yXpkptMBnVrG7TQDT15xKbm5tYWFjAc889h1dffRXdbte3lclY1M/OQDg1CatPmCRIou31eiM+fRJ5v9/3+zqdDtrtth8Q2UVJrArWbUrSxWIRExMTqNfrI5He9Xod9913HyYnJ7G5uYnl5WV87Wtfw5UrV7CysuIDxthPXFv5xIkTaDab+OIXv7ifVoyKiIg4YDgUxAxskdnCwgKmpqb8POTNzU2v0hYXF3HhwgXUajVMT09jZmYGs7OzyGazfl3eTqfjM4ktLCz4qG6NWAauL9agSppTbjgHtl6v+7mwVJ8aAUxlzbqrqdcGYekUJSUtm+xD1ayaqvv9PtrtNpaWljA3N4dLly5hfX0dY2NjOHbsGDKZjF+/WX3ZGxsbXsnSN835xFoPXmN9fR39fn/EUkDzNE3V6+vrqdPOSPKqkrVtRD6fx9TUFMbHx31bK5WKt14kSYK1tTW8+OKLmJ+fH4nQZ3+ynYVCAdVqFadOncLS0hKeeeaZSMoRERF3FIeGmIGtzGDz8/OYnp5GoVDwREBlSsU2Pz+P8+fPo1ar4ciRIzh+/Lg/p9vtYnp6Gs1mE9euXcPCwoJXgMD2FZmo9GiuXVlZweuvv+6n31QqFa8+a7Wany9LRa0rIZGISLhqftagKdbDJtBgffr9vq8P/eSLi4tYWlryCnViYmKEbJeXl31q0jQftxKaHRCof5zKmeVphDqhfmsdlNiyNZK8WCz6wcTk5KRXu6VSyVtJXn75ZSwuLm5LxakknySJHxxVKhWcPHkS7XYbzzzzzMiazBERERF3AoeKmIHr5Dw7Ozui/NR0nCQJ1tfXsbCwgMXFRbz00ks+89fU1BRmZmZw5swZvPnNb0a/38fS0hKuXr3q1Rd9pGlzpBnp3e/3sbq6OmIyJRkwVWixWESxWPRmZCa80ClNGrRFMqMPm+qT1+v3+96f2263fV1JRrVaDYPBwGc+Y9TzwsKCH3xodjL1IXOwwD60xGz95no8MDqoUGXunPNWDju9iYlgpqenMT09jUqlgsFg4F0Rly9fxtzcnJ/jvL6+vm2qmg16Yw71sbExnDp1Cq1WC0899VT0KUdERNwVHDpiBoBut4u5uTmcPn0a2WwWrVYLwHXCobLkdyYMWVtbw5UrV3D27FkfPDYzM4OjR4/iLW95C3K5nFegTP/JqGIGjmkAlKo0zndmVDgw6idW5czPqqTVX+yc82TLutNs3O/3sbm5ORLNrIMHzhum33tjY8OfA2zP7a0kZ0lZ/yt5WzLntbX+NgK8UCigXC776PfJyUkcOXIE1WoVmUzGuyPOnTuHhYUFrKys+PnMoRXC9Bp6TRJ+o9HA/fffj6WlJXz+85+PpBwREXHXcCiJGQDa7TYuXryIt7zlLT4xBf2fquAsgdD83Wq1sLCwgJdeeslH7NKMylSNpVLJZxFbXFz0AWc6Xzq0DrQGfVnfcYjYd0reYadhhaYWEc459Ho9/x8IrxVtrQDWDBzy+1rTNMuw85Y54CgWi6hUKn4Jz/HxcTQaDRSLRWxubmJtbc0HqS0sLPjpU7RUWNO3rWfI/E6LxZEjR/DAAw9gfn4en//850emzEVERETcaRxaYgaAZrOJc+fO4T3veQ8WFxdx8eJFdDodvz8t6CrkP2aQ16uvvuqXAmw0GpiYmMDU1BSmpqZw8uRJlEol79/lgGBtbW3bfF0Stl7bErKdP7ybarVBYNZ0zH1KnISSGs9RU3MaIWuQFtU9VT8jvOlnr9frnoArlQqy2SzW19fRbrf9fHSqYc5hZj/ZudZaTwv1zTPVJ4PzpqencerUKVy9ejWSckRExJ7gUBMzsLUa1TPPPIMPfOADaDQaePHFF9FsNkeih4HRFJpWcep3nRa0srKCS5cuedNwqVTyc2mZxvPUqVM+BaQGZHHuLjNdMXqcpE2fOBX1Ttm+QtOMNIDMqmYbXGUVpy1PA7CUgHW9a0azM8iNCVgKhYJfspLZ1y5fvozFxUU0m00sLS15Etb0n6G2hQYUdgChgwdds7lSqeD48eN46KGH8KlPfepup9mMiIiI8Dj0xAwAly5dwic/+Um85z3vwfve9z584QtfwJUrV0YCuKxaBsKrQekx6p/mtKClpSUAGPFnclnJRqPh5zzX63VMTU357FQ2oplTnDjvlwFd3M/oaxsEpnUP+ZjtvGBNFKKmZipeDjg4h1nTW2rdAXh/davVwtraGi5fvozV1VWsrq76NJtsQ9qgSLftRJxW4atCZv8zkrtWq+H+++/HQw89hD/6oz+KpBwREbGnOLCLWNwMisUivvd7vxePP/44nnrqKZw/fx5ra2vbMnNZxZhmOlZoxHQaqZAsSIBcWpIkx2htqs9CoeDJj8lKmMmL0HqrurbZxbQ9GkjGOvEz/6sfnHO2bQavVqvlBw0kXs5n5lSp0ADB+vbtPHHWNWQJsNHeOpdbTdccWExMTOCJJ57A+vo6/vzP/xxzc3M3/oPZG8RFLCIiDghuehEL51wJwH8CUBwe/3tJkvxT59z9AH4bwBEAXwLwd5Ik6TvnigB+A8CTABYA/JdJkly4bS25g+j1evjkJz+JlZUVvPe978WxY8fw5S9/GdeuXfNRzEB4DeWQog4dpz5raza2EcQ2eEpVIKOnVcFyzrFOq9L9NKlrwJMqftYTgFfZNJlrVLeSMD/rn65NbUnX9pP2iw1g20kVh/o41G/8rjnBGeE9OzuLN73pTVheXsZf/MVfYHFxMXitg4TD9DxHRNyruBFTdg/A30ySpOmcywP4nHPukwD+AYB/lSTJbzvnfgnAjwH4xeH/pSRJHnLO/RCAfw7gv7xD9b/t6PV6+PSnP41XX30VP/iDP4iZmRl84QtfwIsvvuhXMAKwjWxshHSIiIBwGs20qGo9157H6TvWzGu/62pSNtjLXtsGj9lyrX9X6xmqvwam2UEKobm7Q8fZYK7dBkX8r0SvVggu4/jggw/ikUcewdNPP43PfOYzh8l0faie54iIexE7L0UEINlCc/g1P/xLAPxNAL833P7rAP7W8POHht8x3P9+F3pr73O89NJL+OhHP4qrV6/ib/yNv4Fv+7Zvw7Fjx3wuaEXIPK2EZEnNLnmo52h5hF3cwhKnndKk0HNUydL3rT5w+rDpW9fI8JACtvVQ87Yldv1s/djWdB3qszT3wE6g2Zqm61KphNnZWTz55JM4ffo0Pvaxjx02Uj60z3NExL2EXYkZAJxzWefc0wDmAPwZgBcBLCdJwqwLFwGcGH4+AeA1ABjuX8GWecyW+WHn3Bedc1+8pRbcISRJgosXL+L3fu/38OUvfxlnzpzBd3/3d+ORRx5BrVbzpmGb2EPVZ1okd4jE7ec0FarHKAHyHHs9S26h6+v5qkL1u147NIXLfg+1z/qu7X6r4nm8mv5tP2j9rMla5yYzwOtd73oXer0ePvrRj+LSpUuHipSJO/08r6N3h1sQEXGwcUNR2UmSbAJ4m3NuHMAfAHjTrV44SZKPAPgIsH+Cv0LodDr45Cc/iRdffBHf/u3fjve///04e/Ysnn76aSwsLPi5tEqWShihHM9pKtD6XbnNkpUlZGBnM7QizXQeIu2Q+dquuxw6Rutsp2PdSH1C6jl0nu7T77rUI/Nnv+lNb0Kj0cBf/dVf4ZlnntlxveiDjjv9PDfc5L59niMi7gW8oelSSZIsO+c+DeCbAYw753LDUfRJAJeGh10CcArARedcDsAYtoJG7lkMBgM8//zzuHjxIp588km8973vxezsLL785S/jpZde8r7nUA7pZBgZTDJVpbibqVYR8gnrPtbTbk8jZ61DmrLXY29EwVvC1u0hhAjZ+rvttCk7eNHzGT3OoLdKpYLZ2Vk8/PDDePHFF/HHf/zHWF1dDdblMOKwPs8REfsdu5qynXPTw5E1nHNlAN8F4DkAnwbwt4eH/QiAPxx+/vjwO4b7/yI5IPbCZrOJv/zLv8Tv/u7vIkkSvO9978O3f/u34+jRoz5RhkZPWxVr1aM1MVtSs8emmYhD33dT4yES1muH6qg+Ykuq1m+s59r6hdq10zmh/tHrqS+ZU8impqbw5je/Gd/0Td+Ez372s/jP//k/R1JGfJ4jIu4F7DqP2Tn3BLaCP7LYIvKPJUnyz5xzD2BresUkgK8A+D8kSdJzW9MxPgrg7QAWAfxQkiQv7XKNe+5Br9VqeMtb3oLv+q7vQqfTwZe+9CW88MILI+o5RH7WzJymGO13S5A7HbeTUt5JoVsTvCVjtQjYa1lLQJpKttezZdp2hPzIrA+wPeKaGbxOnDiBZ555Bq+88gqazSYOEG5pHvPdeJ7jPOaIiBtD2jzmmGDkFpDNZjE7O4t3v/vdeOKJJ/DSSy/hK1/5Cubm5nz2rVCAVIiQ0kgYGJ3qpPt5TOhc7gst5qDXS1PtWrbuDyGNRG/kOGv+V9jvNnhMA7y42tfRo0dx7do1vPLKK1hYWDiIvuSYYCQi4oDgphOMRKRjc3MTly5dwh/8wR/g3Llz+P7v/36cPHkSX/ziF3Hu3LmRrGFWPdtgMEtYlsiJUNBVmt85zURs1XCo3FBd0oh8N/+4bUeo3aHyrZLmnwZ35fN5NBoNHD16FADwjW98A6+99tpBJOSIiIhDgkjMtwlf//rX8eKLL+Kd73wn3va2t+GRRx7B5z//eVy+fBndbtfPIdaEH2lkDKRPodLvaWrZmph1upEmSLHlhAKq7PWtfzqktO25oWuF2mG3AdjmS6Y/uVAooFqtYnp6Gv1+H2fPnsXVq1dHMqdFRERE3IuIxHwb0e128bnPfQ5PP/003vWud+Gtb30rjh07hhdeeAFLS0t+cYaQCtasXIoQQaeBpuHQ1CyWTeJN8+3u9t2Svd2vgw3dF7IW2PP0f4iQmXa0Uqmg0WhgY2MDr7zyCq5cuRKXZ4yIiDgwiMR8B9BsNvHpT38ahUIBb3/72/HEE0/g9ddfx6VLl9BsNn02LZI0l0lUpPmNQ8eElLLCkqoN1tJjLNJINeT/1e1pU53sOfZa9k+XZuQa1wBw+fJlXL58OZqsIyIiDhwiMd9B9Pt9PPXUU/ja176GSqWCmZkZ1Ot1v8ayLoxhlbRVs5bkrNn5jQZd7RTspSQb8vPaMm1mLvUFW6SVB1yfh6zrOnMt51KphLW1NZw7d84vnhERERFxEBGJ+S6ASx4uLCxgfHwcxWIRs7OzWFpa8nmqNzY2gmRJf65VpKpkdSrTTpHW+p1JT9ICsnh8KCBL62SDtxQ27aaew+toGbokY6lUQj6fR7VaxauvvurXcI6IiIg46IjEfBeRJAmWlpYAAEtLS6jVaiiVSpiZmcHa2hr6/b5f25jHh6Za7aSOQ/5bnqukyP1p362aVZ+vXt+ud6x/3E/1q0TM+cdqqqY6ds7h+eefx9zcHJaXl6P/OCIi4lAhEvMeodfrodfrwTmHpaUlNBoNTE5OYnJyEgBGCJoBXSGytCRIAtV9VpFyf2hesDVDW/OyPR7AtuMHgwFyudzIPvufypiE3Ov1cOHCBXzta1/DCy+8gNXV1V2nYEVEREQcRERi3mMkSeJN3XNzczh27BgmJiZw/PhxPPjgg0iSxEdz6/KPGlltp2GFrmGDxOx+/uf5m5ubI/5vPdaqeDt9yk5ZUgLP5XJwzqFUKgEArl27hsXFRczNzR3a1Z4iIiIiFJGY9xEGgwEuXbqES5cu4etf/zo+9alP4fTp0ygUCgC2FmfY3NxEv9/3aynzPEuiloRtAJk9Rk3UGsyVllAkVI76lNVkTVWs60H3ej0sLCxEIo6IiIgwiMS8T0EVeuHCBQDw5l/nHBqNxjb1rKS3U5lAevrNtOP4OW07/2vOapqzWa+rV69iMBiMKPGIiIiIiO2IxHyPgKZsAJifnwdw3c9LNVoqlTzxJUkykuVL/+vnNPLlMeqj1kjqwWDg/cSsSzabRafTQZIkPpAtzjOOiIiIeGOIxHwPg8THILFerwcAI9HXzJSlinpzcxOFQmGb2RvYPheZapzR01TtrVYL/X7fm76jCo6IiIi4PYjEfAChKpXR3zsdA6SbtQHE/NMRERERdxGRmA8pItlGRERE7E/sl/WYrwFoAZjf67rcRUzhcLUXiG2+HbgvSZLp21jebYdzbg3A2b2ux13GYfttH7b2AnemzcHneV8QMwA4576Y7PMF4G8nDlt7gdjmw4LY5oOPw9Ze4O62efsqAxERERERERF7hkjMERERERER+wj7iZg/stcVuMs4bO0FYpsPC2KbDz4OW3uBu9jmfeNjjoiIiIiIiNhfijkiIiIiIuLQY8+J2Tn3AefcWefceefcz+x1fW4XnHO/6pybc849K9smnXN/5px7Yfh/YrjdOef+zbAPnnHOvWPvan5zcM6dcs592jn3Defc151zPzXcfpDbXHLO/bVz7qvDNv9fh9vvd849NWzb7zjnCsPtxeH388P9Z/a0AbcZ8Vk+GL9rID7Pe/4867J9d/sPQBbAiwAeAFAA8FUAj+1lnW5j2/4GgHcAeFa2/QsAPzP8/DMA/vnw8wcBfBKAA/BeAE/tdf1vor3HALxj+LkO4ByAxw54mx2A2vBzHsBTw7Z8DMAPDbf/EoD/Zvj5JwD80vDzDwH4nb1uw23si/gsJwfjdz1sR3ye9/B53uuO+GYAfyLffxbAz+71DbqN7TtjHuazAI4NPx8DcHb4+d8C+OHQcffqH4A/BPBdh6XNACoAvgzgPdhKQpAbbve/cQB/AuCbh59zw+PcXtf9NrU/PsvJwftdSzvi85zcved5r03ZJwC8Jt8vDrcdVMwkSXJ5+PkKgJnh5wPVD0OTztuxNeI80G12zmWdc08DmAPwZ9hSjctJkmwMD9F2+TYP968AOHJXK3zncCDu5xvAgf5dK+LzfPef570m5kOLZGuYdeBC4p1zNQC/D+CnkyRZ1X0Hsc1JkmwmSfI2ACcBvBvAm/a2RhF3Gwfxd03E53lvnue9JuZLAE7J95PDbQcVV51zxwBg+H9uuP1A9INzLo+th/g3kyT598PNB7rNRJIkywA+jS1T17hzjgvEaLt8m4f7xwAs3N2a3jEcqPt5Azjwv+v4PO/d87zXxPwFAA8Po94K2HKgf3yP63Qn8XEAPzL8/CPY8ttw+98dRja+F8CKmIvuCTjnHIBfAfBckiS/ILsOcpunnXPjw89lbPngnsPWA/23h4fZNrMv/jaAvxiqjoOA+Cxf335P/66B+Dzv+fO8D5zsH8RWxN+LAP67va7PbWzXvwNwGcA6tvwSP4Yt/8OfA3gBwKcATA6PdQD+l2EffA3AO/e6/jfR3m/DllnrGQBPD/8+eMDb/ASArwzb/CyA/2G4/QEAfw3gPIDfBVAcbi8Nv58f7n9gr9twm/sjPssH4Hc9bEd8nvfweY6ZvyIiIiIiIvYR9tqUHRERERERESGIxBwREREREbGPEIk5IiIiIiJiHyESc0RERERExD5CJOaIiIiIiIh9hEjMERERERER+wiRmCMiIiIiIvYRIjFHRERERETsI/z/Ab1MUc3p2tArAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, label = data_dict[\"image\"], data_dict[\"label\"]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[0, :, :, 30], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[0, :, :, 30])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random affine transformation\n",
    "\n",
    "The following affine transformation is defined to output a (300, 300, 50) image patch.  \n",
    "The patch location is randomly chosen in a range of (-40, 40), (-40, 40), (-2, 2) in x, y, and z axes respectively.  \n",
    "The translation is relative to the image centre.  \n",
    "The 3D rotation angle is randomly chosen from (-45, 45) degrees around the z axis, and 5 degrees around x and y axes.  \n",
    "The random scaling factor is randomly chosen from (1.0 - 0.15, 1.0 + 0.15) along each axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rand_affine = RandAffined(\n",
    "    keys=[\"image\", \"label\"],\n",
    "    mode=(\"bilinear\", \"nearest\"),\n",
    "    prob=1.0,\n",
    "    spatial_size=(300, 300, 50),\n",
    "    translate_range=(40, 40, 2),\n",
    "    rotate_range=(np.pi / 36, np.pi / 36, np.pi / 4),\n",
    "    scale_range=(0.15, 0.15, 0.15),\n",
    "    padding_mode=\"border\",\n",
    ")\n",
    "rand_affine.set_random_state(seed=123)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can rerun this cell to generate a different randomised version of the original image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 300, 300, 50)\n"
     ]
    },
    {
     "data": {
      "image/png": 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tS8JCzKurq8jn89jY2EAul0O5XEaxWLTE2Gq1EIlEOnzR0kfNZtNaxawQsHXNfcsQUi+VSnbykEwmkUwmkclkUCqVLEE3m80dybibH1ja3O1zlt/5GJ+rFRPXNR4eHvsXnphfB1hWBbZHQYet/9VBWmwxi1Ucj8ethZtIJCy5iqUr0cYiRYs0nUgkrBQcVi/LvwAs2TGJuNb/yjEmJJlUcIAW+54BWKKUewWA48ePo91uo9FooNFoYGNjA6VSCaurq1hcXEShULDWbaVS6Wi7lKfJWHzpcg4Hz7EFzD7vYrFoLehEIoFkMol0Om2tfInm1rtdyb3yMZdFrH3frnPCLGl9vpeuPTzuT3hifh3QAVIua0ZLwUzm4nsVIhVizWQyGBwcRDqdtgTc19dnySORSCAajXb4Xl2WmctnKW3i10w6bPmzpcrEqK3uMAuO3+sAK7lOCDuVSnVY2ZVKBaVSCblcDsvLy8jn81hbW0OxWESlUkGtVgOADlm7p6cHjUbDWtDSBulzKbvdblv1QO5PllI1Go2OiQ/L8vV63ekf535zgc8J8zW7rOowot+pPg8Pj/0FT8y7gCsBhkCTlYCJWKzeVCplCUCk1IGBAWSzWesTTiQSVtKW8pkYw6xgDV6LrElAiKtbsJlcq9FNFudrdLmudvO5cv8HDhzAqVOnUK/XbZBZLpdDsVjE8vIy1tbWrPzcbDZRr9etbC4R1wIJkGO/tvjoxcpvtVpoNpsolUqIRqNIJpPo7+9HJpNBvV63k4J6ve6Uyl3fCVe/6Ne6nzV56z7S13t4eOxf3BQxG2MuASgAaAFoBkHwuDFmCMBvATgC4BKA9wdBsH5zzbx70H5WOQZcHyh5ORJwPcpYpOdMJoNYLIZYLIZkMolsNouhoSEMDAxgYGDA+pH1WmS2rsIGeJZOu92DPk9PNJis9X3qOl3+dd3OsOhzV/8JSep+lknMyMhIB5Hm83kUCgUsLS1hbW0N6+vrWFtbQ6VSQbVatRI31w2gQ1oX5UDk9Xa7jXK5jHK5bCdSMoFqNpvWohfyd0nd+n65f3cLlwQe5mq41bgffs8eHvcCzM3Mwrd+yI8HQbBCx/45gLUgCH7GGPOTAAaDIPiJHcrZk6YAy59antQ+VpGZOSo6Fouht7cX8XgcAwMDGB4exvDwMAYGBpBMJreVr2VO7a/k+uS1bptLjtYDurx3pQp1yfLcJi6jm3TO73Xdu7Eiw47rfayDYHPtcqlUwvLyMhYWFpDL5bC+vt4ReR0Em2u2hbRlIsL3zJHuYm3H43Hrzwdgo9ErlYq1trkMPTHZqY9c9+qSuQWtVuu5IAge39axtwC36vecNUPBm807bkcTPTz2Ff40+PfO3/PtkLKfBvC2rde/CuA/Aej6Q96L6OZH1X5W8Zlms1lks1lr/WYyGYyOjmJ0dBRDQ0PWh8zLYrQ0ygN8mKwsEwMmKP4sTG53vde+Y90HfA2fr18D2CaPa7k9LLtYWDu0rAt0LrGSzzOZDLLZLA4cOICHH34YlUoF+XweuVwO8/PzWFpawsrKio3MlrXXHIUtZbHbQPzQlUrFPuN4PI7BwUEMDAygXC5bK5oJX8oLs6p308/687soY++L37OHx72EmyXmAMAfb1m8/yYIgo8DGA+CYH7r8wUA4zdZxx0FW1LAdp+sHJP30WgU2WwWIyMjiMViiEQi6Ovrw/j4OKampjAwMGD9xjJYM6ly5LML2moW4mLZW9q920F9JyJwRZeH1eeaFIS9d6371kFsLplc+kkncxEIwUp9soRscnISp0+fRrVaRT6fx/r6Oubm5rC4uIi1tTVsbGygVqvZJVvstuC120EQWH9zT08PEomEdUu4fNEspUsfuyZMfG+7fTa3Gfvu9+zhcS/iZon5m4MgmDPGjAH4E2PM1/nDIAiCMJnaGPNBAB+8yfpvOVwRz0KmTNrGGKRSKQwMDGBoaMgO1FNTU5ienkYmk7FZt1w7JbkGaz6mj0udYa9dVphLJud6GFrKFXBubV2+ECu3kT/j+3ApEGEkrNvZjaBc/dRoNFCv1ztSlo6NjeHAgQM4fvw46vU61tbWsLq6ivn5eczPzyOXy2FjY8NayTxh4oxj4pM25npgn7gvstksWq2WDU6TqO5upNzNku527m3CLfk9J5C63e308NjXuCkfc0dBxvw0gCKAHwHwtiAI5o0xEwD+UxAEJ3e4dk/4mDktpSsQSixVGYyHhoaQzWaRyWQwNjaG6elpZLNZxGKxbWW7ZHFXtDWfz1a1tIHL0nsda79kNyJwkTOfx9fr88LImst1WcSu+9SkzO0La6uekLjcAa57kecq68fNlkugWq1icXHR+qjFTy2pPcWXzG3iPpDvBUfe9/T0oFqt2uVerm0wXW0Nm7zIsdvpY2bczO/Z+5g9PHaHW+5jNsakAUSCIChsvf4OAP8EwKcAfADAz2z9//0breNOQgdisT9UyDidTtuEFBJdPTw8jMOHD2NwcBCxWKxjcNUWn7Z6NPFpfyoP0nyME2kIdDIQTUjd2uGSpfkz/VqTchg5uo7zZ2Ft0J+zisH9pstiCZo/5z4Q67fZbFqijsfjOHLkCGZmZlCtVlEqlbCwsID5+Xm7RKtQKKBaraJWq22zpqX/ZdmVROBLjAEHjHGGMf2culnPt9ti3m+/Zw+Pexk3I2WPA/i9rQGkF8BvBEHwR8aYLwP4bWPMDwGYBfD+m2/m7YOWjjlVZiQSsQScTqcteff09KC/vx+nT5/G2NgYkslkB5lLuWHkLJBrugVxMbQF6SJuPo/fa3LWGcy6kXmYJbeTRSvnaYvfJde72u0ib1dZfK1WIfR9yTksT3P5kmq0v78fJ06csElPVlZWMDc3h+XlZZu1TDb30FK3BJiVy+VtOcwlgQn7tvVkrNuzvI3YF79nD4/9gFsmZd9UI+6SlC3WMEOIWaKsU6mUlTubzSZGRkbw6KOP4oEHHkB/f39Hnmdgu8ysLUeXVaoH427SdDc/JJcn98Ll8WfaAteWvitQi+9vN+3Q7dHytut+w6x6fZ7uG/3aVT+3mxURfjY6clx232q326jVaiiVSrh27ZqVvJeXl+1OW5xpTEePS9pVzmMeBIG1pNm33e1ems3mHZGybwZeyvbw2B3u5HKpewZMXPK/t7cX/f39GBsbgzEGKysrqFQqSKfTeOCBB3D69GkcPXoUyWSyY8OFMGsS6JSZXdAko4nHtcyoG3FxmVKGtuQZmty0Bc+7UMn9hEnGGprkdX38nsvQbdbHtDzd7f5ckwh+9vy5bquQZRAE6O3ttbtTnTx5EhsbG1hfX8fly5dx7do1m42s0WhYq1mSl3ACE9mEJB6P2wjyWq1m04DKNbuZdHh4eOw/3LfErKVcSQ4yMjKC0dFRFAoFLCwsoNlsYmJiAmfOnMGpU6cwMDBgracw65fJDdhuiYVZnd2sQC0vuyxqLoOPu+qX16wYcG5v/tNlS3lMunpPZGkjH3f5xblstqbDLOcw8t+pv3TfcBv5/vm4lvC5/ZFIBENDQxgdHcXMzAxqtRoWFhYwNzeHlZUVbGxs2AQnYlGLb1mCyWT5layRlp3BRKERlUarCR4eHvsb9x0xMyHJgCdW8oEDB9Db24uVlRUsLy8jEong6NGjeOMb34iZmRnE4/FtcqP4nKUsISImQpdF3K1tYYTh8iuHLYnScri2CiUqWbaU5GhlPalwSeH6XmSP5zDiZD+sELu4AQRsies9iV0E201Wd/mw9cRC94uLuF39KfUK2UpE9pEjR3D48GFsbGxgeXkZV69exZUrVzA/P9+xkUYQBNYqljKazSaKxaLd2CSZTKK3t7dD5n497gMPD497F/cdMXNKR1njOjAwgImJCbTbbczPz6NUKiGTyeDMmTN49NFHMTEx0UG6POBL8JYM2kLS8qeXFmlLLszqlnoEYXKrJjA+l8/jqHPxm8qOVdIPci1bytpylX5geV7uU853Sc5Sp75HDppii5S3XtR9qvvRVa+rTzW587WycYjr3lyTHgZPKIwxGBwcxMjICGZmZrCxsYErV67gtddew9WrV5HP51Gv15FIJDqsaM7bXalUbL7udDptpXFJ/+nh4bG/cV8RM/tOI5EIYrEYhoaGMDw8bEm5VqthZGQEZ86cwRve8Ab09/dvIx4pi+VZ9gW7LDt+HxalrKVnF7QVzn5u/bkQohAvW8lMxsD1DR5cPlt9XLdBINso8q5NHHXMPmoA1lqXejjqPR6PbyNtViOkX3WGLjnuspbDJHFum/5MS+taheDvg7yXe49EIhgZGcHQ0BBOnDiBxcVFXLhwAbOzsygWi3ZnrGq12rFWGoBdQy0beWSzWRvJ7eHhsb9x3xCzDL7yX9JmZrNZlMtlLC0toV6vY2JiAo8//jhOnz6NZDLZEWHrSgjCS6s0aYf5hV3+VF2m9hVra1DaI5nF+DqWo2UjDfFl8sSE+0Zb5N0mE9qaFj+1WMVCMpycgycw7H/mNcqsSPBGE2Ix82dcnkwEXL7gMEtX3588E5bbw5QLLdfrMniiJveRSqUwMzODo0ePIp/P49KlS7h06RLW19dtMhO9hAroJOhEIgEPD4/9j/uCmFlKTSQSyGazGB0dRTQaxcrKCorFovUnnz17FkePHkUsFusIvGES1dYVkwAP6q5BXJcn7dP+S00MmvS1n1Qs4Wg0andCkh2SNFlLO8Kg7zHsfFdZWpUQotPrfQF0kCsHm/EkRK6RSYXuB+C61M0bSTAxutqvnw3LxOwKcGVd4/dcjp54yTEm6J6eHmSzWTz88MOYmZnBlStX8Oqrr2J5ebkjCQnn3G61WiiXy6hWq6HPzMPDY/9g3xOzEFYsFkNfXx8GBgaQTqdRLBaRy+VQr9eRTCZx7NgxPP7445iamkIkErFWiysBiB7kwwhvJ78mnyOf73TMZXWLNSykLJMQHVnNJNGNsLit2vJkeZmv0dY/y+TAdR+3EA2XxxY/S9N8rpCalq25zfws9NpyPncnK9oFl/Wsy+AJTVgdknFMrOhTp05hZmYGs7OzuHjxIubm5rCxsWH7VPJtS195eHjsf+x7YhbikoCcQqGAy5cvo9Vq2WUqDzzwAM6ePYvp6WkYYzoGT/Zj6kGZiUhIQ46ztaUTagDbI4v1cX7NMjxbcCJRR6NR6zMWcmbZXa5hHzAHrUl5LjlbW+1s+XIbXet/NVh6Zn+s61wpM4yMwq5hsNWuCZ3v10W2/Nz1cZeaoV0NYYTPz13ak0gkcPLkSRw6dAiXL1/GN77xDczOziKfz9vvI/ufPTw89jf2NTFLgFc2m8XQ0JDdo1dItKenBw8++CCefPJJjI2NbdtogH242nrW1pGWoEV+dQV6aX8t18myriYl+Ux8x7FYzN5LJBKxmyeIz5cJSQdmiUXJBMOWv/YJax+si+RYWeAocOlLgVjT7EcOs4LlXrTEzYSo2yLXsd+aP+PypF+5j/lcrQRoi1ufz64K17PnvpWyZLeqeDyOEydOWIJ+9dVXcfnyZWxsbNhlUx4eHvsf+5aYhRzi8TgGBgZQr9exvr5uB9hkMokHHngATzzxBMbHx7cNttpvCnSSlbaOXP5hPTAzEQlhiuXLJMwDt4ZYxRzBzAFeWmYWa4ulYQnM0kTIwXEu64yJjsmKrxcZXQiVI69ZvgZg96/mtbzaouS6tcwuz0aka5m4RKNRJJNJNJtNFAqFDr+0/Odj/Hz1M9bt0P3BbdBErycurskM96N8HxKJBE6cOIHJyUlcvHgRr7zyCq5evWqTlXh4eOxv7FtijsViiEaj6O/vRyKRwOLioh34k8kkTp8+jW/6pm/CyMhIh6UcJuFq366LvPWALwNxtwQhYf5nPo8JT0hZLKx0Og1g+3pmlo3b7bZdBytBTjoQS9qgX4tMr+9XPpN2a9LURN9N8uXANJbJ2Q/O+xqzv5n9zwAQjUYxODho85gbY1AoFLa5I5g8RQmJx+MdCoMOJguzlMNkb+1v5u8H9792I8hSq76+Pjz00EOYmprCq6++ivPnz2N1dRUeHh77G/uSmCXYK5vNoq+vD8ViEdVq1fpjjx8/jieffBIjIyMd8qAM0EBnhDUTsiYhl3XEEbhsZbr81AKpj+VgKZMDu+TcdDqNvr4+9PT0oFardVwvS5YkV3O9XrfbFUp7wqKuwyxl1ySCZVuR1TnwDOhM6OIiOSZlsZ6FFOWZsPIg98jPiuXuaDTasVHE4OAgIpEIyuWyPVcCqrS1L/cj0eyxWKxDYeCJgovkw/osbNIl9fJxgUyoent7MTY2hmw2i8nJSTz33HPO74+Hh8f+wb4jZpGvs9ksBgYGUK1Wsbq6ilarhXQ6jUcffRSPP/44RkdH7WDrIl9t3Qi0xMnXiHXJJMQErSVqba3qyYAQssjBYsklEgnE43EAsCTDCU/Yp1wulzvWEfN9cN38n+GalMh5iUTCKhNi1eu+ZL+1Xt+t6+d10Fp2FyLlCUSj0eggVCHsUqnUEeDW39+P3t5em+ayWCxiZWWlI6CKI8DZwo3H43bpXKPR6NhgwkXI2gctbWU3hn7ergkf92Gz2UQ0GsXhw4e3f+E9PDz2HfYVMYu8OzAwgMHBQetXFlI+ceIEHn/8cYyNjTmXDGlLtdsxlqpdUiWXK9doXzITvJA6y9Zi/RpjrCUJbCoCMmDL+VKfEEi9Xrd7BvNAL+0QsMysLXoXUYtVzL5kJke+Joy4XNa6lqWlnyQXtey6BGzfMEPuQ0iz1WohlUp1+Ldly0V5BpL3XJ6fXCvXSDvZ8o9Go2g2mx07QEk7eLIRZh3LMSmX5Xn9neDvlSZ1Dw+P/Y19RcyxWAyDg4MYHBxEtVrF2toaarUaMpkMTp06ZaOvheR4QNTJOlyWohChlkCFpHkAZYlSD8o68lusYRn8xQrlCGohjWQyaQlC2i3E3Gq1bIpHSfMYj8et1Q1cJ1aBy8etCZl95XJ/WhXoRsj6PO0C0Ba1XCP3lkgkEI1GbWSyVh60L1/keskFLpMRsYClXNeaY6lXVAD2BXOgHU+U5DoOtNP9on3acr+6z1yuEVc7PTw89i/2DTFHo1GMjIxgeHgYpVIJKysrqNfrSKVSOHz4MN70pjdhYmJim9XJvlm2ovXALZYc+4vlM6BTphUCZ9kS6Axm0kuJxKcpBCIkKwQsn3MgFgdJSYCXEJfIthIw5pJehVz1/Whi1vKrllylDXw8zFrW9bnq0BaiTFoikQiq1apNW6mXMvEyMLGchZxFFmdZml0W3KdipfPkh6V5VimazaZ9NlKGWNQiles+1ZNA/d1zBZJ5eHjcP9gTxCwDVNiylJ0gQT6jo6MoFotYX19Ho9Gwfrk3velNmJyc7PDBAtejnZmceZBnAtUBXdx2AcueWipnEtPSbzQatb5MAB0DOi+F4nJ1BLgQkqxlZt8u16UJ1GXZhz0jDW3tyjHX+WFLsFwTApdaIddK5LSQs6s9/D2SfhGi5TSXXBe3XaRtXvYligVP2GTiI6Qv8r58T4SctcuD70cvoZJnqy1uHSPg4eGxf7EniDmRSGBiYgK5XA7FYtEOZruBMQYjIyOWlFdWVtBqtRCLxTA2NoZHH30UR48e7SAlHmzFutUSrSZxTTi8PEr7BMOkcCZSqUusLeA6IcukQK9XFvAxKV8UAG6jHshZvmdfJrfPJW274JKi+TptFbqud1ne2t8cRtwAOrZCZIWC71ckaCY83Ud6oiLPXa7RfnWxwuV6sdTFty8TOnEh1Gq1jkAzl8rAz9G1jM2TsofH/YM9Qcy9vb04fPgwJicnUa1Wsb6+jvX1dZTLZdTr9a4knclkMDw8jGq1aiNtASCdTuPkyZN48MEH0dvbuy1rEhOrDsjiAZyP60FdX6elXj3wMsR3KpacRBhz4BdHczNBhNWpyVYvxWHrn4lck2u39bdhli/3i8tP6poQCPSEgcld1yX1syrA5cln0m9877z2Wc7jADBpgyxL42fIEfLaRy+fS5v0d5YD+FitcfW/a3Kl+9PDw2N/Y08QM3B9aUo8HkdfXx+mp6dRKBSwsbGBfD6PQqFg1+LyNcPDwwCAXC5nB+NYLIajR4/ioYceQjKZ7IjilYFZW8osYUtwEJODyyp0kQK3TUvPcry3txfxeLxD0ua1uBxNLNaZEKm20rk9eoDXflpum8t1wGVLGZpAuA80pP+5T+U4ky8/B6lXl891aNcAEyXL0i7XASsQADpIleVsuW8hT3Yd8PeA71F/N2SyJRNBzq4mljbL2/o+tYKhJyfdFAwPD4/9gz1DzJokjDHIZrPIZrNoNBqoVqsoFApYW1tDsVi0PsBEIoG1tTU72EUiERw4cACPPvqozX/tkkEFmmx0Wkttfck1Qlpa/nZZy5qUE4lEh7UeBEGHlSztYKtZ2qclYu1z5vYwmfCSKgH717WEHGbF6Tboa7l/uF9d1l43VYLP5zYywQoxG2M6Jl9MrGwRuyZZuo18nljBQu7cHn2/UoY8MymDg9Tkc5G3Xd953Yc7TYY8PDz2H/YEMbfbbTQajY4dmhi9vb3IZDJIp9MYHx9HtVrFxsaGzYVcLBatlTkwMICHHnoIx44d64isdUmwbJ0IZHBkq0iu1xayWNfagpayteUmyU90tLbOlsVbNupyuX26HJdMzMdd8qgmQ55EuMiR65PztDXu6md9nX6vSc6lUjDBtVqtbXI8t0NbpNpq1+4K3TaZ2Eg9xhhUq1XE43G79EwHBvJr8RWL/1n6T9SS3t5e6yN3PTMm8rDn6uHhsT+xJ4i52WxifX3dRiaLH89laRmzmes6Foshl8thdXW1g/gOHz6M06dP27WmTGIuqznMImGy1VYiD5ZhwWFMqEKyIkuz3CuWnf7jexcLTBMg34MmX2mDJldNwtpClPN5iRCXFSbfdyNU3d/6HHk+rkmOa4Ig9y+fS2S0bleYRM735zpXKxQ6hadk4tIqh57MsSLB655lgtbT02PXnGu42u4tZg+P+wN7gphbrRZWV1dtPuhYLGbTPcoORDyISjR1oVBAvV6HMZvbII6OjuKNb3yjTbfJVgfgTiIiZcp/l1wNbN/+T8oRQtH+WflcklIwAcsyG7GouI0u1cDlj9QE340Y+b8mHa6br+UymTA1sTIRucp3TSBc710Ryro8ViCk3zjCXq+R5vO1/5mfsS47rH3VahX1et1+T8WSFitYous5dzmAjjznjUYDtVrNXp9KpWxmM1F3eMLHkyMdde7h4bE/sSMxG2N+GcB3AlgKguChrWNDAH4LwBEAlwC8PwiCdbM5iv08gKcAlAF8fxAEX9lNQyRYRgY6Geyi0ajNDc0RscVi0e4a1Nvbi76+Ppw6dQpHjx4FcH1w48FMD/Z8DLhORnoNMxN8mFQs/7k8uQ/eM1na2tvbi3q9bq0xCVpjuVbaoP3b+v9uJU4OotKEzH9MynxPWnngz5nYtFzczWp3WdAuqV1fp9vvirKX466yw+6R2+oiQvluiOslEonYzS7kuyivpR3yPZA65bsObE7EJFVouVzeth0n3++tkLLv1O/Zw8PjxrGbKfivAHi3OvaTAD4bBMFxAJ/deg8A7wFwfOvvgwB+YVeNiESQTqcRi8VgjLGbL2xsbGBtbQ3Ly8tYXFzEysoKNjY2kMvlsLS0hHq9jkgkgmQyiSNHjuDRRx+1S2C0pQRst5B0gBT7B3njCLHQdRSvvHb5ADnymgOTUqkUUqmUJRa2oLV1CWxPZ8mfyTGOLuf7ZJmaCZndBCxjayLl/tF9KHW5MqG5lAN9D67283FuC5/HG2WwK4ATf8jnfEz78TkQTJQLHQHNPn4tvTebTdRqNbtzV7lcxvLyMubn57G+vo5KpdKxzaa0USK3JTOb9LFYz/Kd6abm3CR+Bbf59+zh4XFz2NFiDoLg88aYI+rw0wDetvX6VwH8JwA/sXX814LNEeQZY8yAMWYiCIL5neqR5VKSMlGIUJaX1Go1VCoVGzRTrVYRBAHi8TjGx8fxhje8AUNDQ3YnIragwiwQTbDymbQH6My4xIM5W5FyvkisTMocIZzNZpFKpVAul7dlEGNJ1tUuJvhuMrxLcpb/MmGR4CVN2trnLNe4+kz2thZoQmcfsAtadtbEpyVsTfQui1fImCdb/My5PdzPLsuZo/l1G7lvdfYxOSYWNUeP8zm8+YesYRfFJBKJ2Mxm+jneLO7U79nDw+PGcaM+5nH6cS4AGN96PQXgCp13detY1x+yDE48uHLAExO1JG+QTQYOHDiAt7zlLZiZmbHlMSG7/IbaKtJSMZOYlMfWsw4E47pisZgN7BFSDoIAmUwG2WwWhUIBxpiOJBau6GoeiHn/ZNfEQE8mXPfIUrCkj9T95SJEltS5jfo1W/bSBh2xzRaqPuYqk8vmfuF75M9ERuZ75ufIUryWxXUbeAcufUzqFiubl+q5SLxSqQAAkslkR1uMMTaWgicTyWQSkUjEWt13ALf09+zh4XFzuOngryAIAmPM657KG2M+iE15DJFIxMrSLMnKgCmBMrL0RMgim83izJkzOHnyJCKRiB3EXIM7D8BMvJoEtayq176yJSgkw9ezn5hlVtkbutVqob+/v2OHK7GSeHBmi1+3k9vPEwMOoJJ+YMJgi0vIno9rC5Plb21Za6te96P0nZ5EuMib69TPj/u+m9XMEdDyPZHjXA6X52qza0KnfdlSrjwzlsFZNeBoc4nu5v2ruXyexIi0LZa2/g7eTtyK33MCqVveLg+P+wk3SsyLImkZYyYALG0dnwMwTecd3Dq2DUEQfBzAxwGgt7c3YGlUBl0e8LWkmE6ncerUKZw9exbxeNxGwgoZaYuRZUuxyuW9Hph5ANQJRlwkI8fEUhbfIZOyqAL9/f0wZnMTBm6TK/KZ2y+vmVz4L8wXzOTsOq5JjxNqMNGJlC4TJU2e0j5djrRfp91U3wXnBEn+6/7g++QtLwXcZwItXfPEStrgUgUYvGSK2ymkyj5lngCytB2LxTp8ydxmibFYX1+3aot2edwm3NLfc9YM+QXXHh43gRtdf/EpAB/Yev0BAL9Px7/PbOJJABu78UcxOWn5WiJYeWcg2TXq4YcfRjab7RgwAdhIaB609fITV6Qzk7gMmpw+kS0ceS1rUiWgSwKCZKBPpVJIJBKo1+s2wK1SqVgiYcmVrS5pI7ddwJMDl8zL/arvma/n87SFLu/lT66TNunJgZzHvlMt+fIkgC1Lhktq5vvWJK0nbHINB3vxc+XzNJm7+k3XyRas7ColZCxL/XjSpydP9XodpVIJpVLJRuQzZB0/b23JAW+3Cbf09+zh4XFz2M1yqU9iMzBkxBhzFcA/BvAzAH7bGPNDAGYBvH/r9D/E5tKK89hcXvEDu2lEu91GpVKxZOoabIUMYrEYJicn8dhjj+HgwYMdxOmyPl2DvLY89eDPBBxGDEEQ2GA1kSZlL2RtxbZaLWSzWUQiEaytraHVaoVuN8kkKX0jZbCl7yISbqfrPvlcbYlxXzARaeuUJz3cBiFsV5tcz5PhkrBFQeHrXJaz9rFr37B2OUhb5TP5r8uW8/R3iMFqSpjlzW2Uv2azaZfKifUsMQnApvIiaWjlmXMdN4M78Xv28PC4OewmKvtvhnz0Dse5AYAfvZGGiLQrFgJbO2yd9vf344EHHsCRI0esVKh9gjyAicwoZWtLmXMZyzEtMfKgzK/1REKIgfflbTabKJfL1lrSvnQt97JlK+3X9yTvOWgrLFMaE7+2AF0kx6Si/fDybLhs9ou6JGmNsEmEhg6q42ehZXvuS03ErqVHWtZ3WeG6XG6X9h/Lcf4ucp/rYDcAHclEWq2W3eJTJjfJZBJBENjfhWSyu1ncqd+zh4fHjWNPZP4SyCAl0dcii8qexel0GtPT0zh58iSSyaRdGiXXhlnIOuqYB08hEZeEymStZWwuSwZkXo+sLUjej1cHQQGwUelMGkBnRDYTnrYCORjMJb8KNHFqctZEKOD7Zp8q+9L1BICfK9evl5jxOXy93J+OGdDnuyYzLvlZCM71TBg6IE1PHlgt4EmN7nf5H41Gt7VHvjfVahWNRsNmuZNyZbMT+T2wRe3h4bG/saeIWYOjsKPRKIaGhnD8+HGMjIx0DO5hJMpkzMTLg3mYte0iMLYqmZzYn80EztdpazLMKuM12Hw9Qx9j4mArVz5zkY+WXF2TAqmH2yPHZW05RyfriHaXNSzSLJelX7vIXU8S+Lnq9d1SB0/MWHkIWxamnznLyLwtp+u7IQoD34vLCtfPANh8ZrVaDc1m004cms2mdZPoJC4eHh77G3uamAXxeBzpdBpTU1OYnp62g7GQKCeVADojcDUZC9hqFjA5h0mbci0Aa8nLEiktk8vAHlaPnKeXJAHXM0VJe9iHKWXoSG4tn/KEhKEtOk3EWu7Wkjbfn7SFSb3bJMclZWtrWLdTXnMfsqTM76UtrmfB7ZQgQknuwc9BzpO+4wxi7IaQY5zCVSZrDK1Y6JgCqVv7vqVtEuXv4eFxf2DPE3M0GkUymUQ6ncbk5CRSqVSHTMxk5iJelnsF2hLTflxtOTJ4sBa/IF+rSUZbYrpM7UuVSYbeUlKTjciyLsnaZf3KcS3NuvqGpWQANvJY7pfbpCcerkxY/Dx40qAnPNrlEDapYCs+rD/5fsMsV7HyXRY3fy7lcEwBS+J87zKJ0c/QNWlkBUaOcZyBWM2yfSlPTDw8PPYv9jQxG2OQSqUQi8UwMjKCsbExu2EAn8Mkoo+7iMAlX4cRlJY5gc2BWCKx+Vot+bKlJX5Cl7WkCZOtQS2NS9vCJHJ9f5oEpCzuMy6H62CJWnbxYiJm3ykTjL5H3TaBnjToICk94WDpXV+vwRYwuxm09coJa1zSt/ShBPMJQXMZMpmSiYoEcfFSKn6ePFFgUga2R6MD15dQeXh43B/Y8792GcwGBgbQ398PwC0HuqwnGdx4swAXeBB3XS/n8GAtFpFYXDrDFJOUnM/kpScUTM5sDXK93H5tqXN7XUTI5TNhaQtfTxqYrNgydrWT+0qu0fW7fNHcVia4MIlbT0ykH7RlzOfxZMe1tImv0+/D/vg5uMhaVBVZh68nGDoegPuQ1Qopp9tExMPDY/9gTxOzDFrxeByjo6M2p7BriZScLwiCoMPXpwdUOaZ9kQwmUQ74ks94WRRLsFreZcLlSYDLAmSi5nthCxaAs93aOtVkqM91RTsL9CSGydIVwc71usqQ83Xgl55kuSYkLvWCyd/VdzIZE0LkXZ64LH0dt1meLfvu5Xugn630BROolBWLxexSOVnr7gqAc6k7AOzGKB4eHvcH9vSvXZYfZbNZDAwMdOzSo+VXLevy4KytOTmPM4Px4MvkxVahrDdlaVEGWbZEXW1hghSC5XzOPLiHBbaxRcwEwzIoy+ea5LVFraVkl5yufce8HIx9omETn27g8/l5hSkXPLFh/ztPWlwTCu5nLsOVbU3O089WT9B02/X9sOTNE7VIJGKXSLHsrQMY+TujI/89PDz2N/Y0McfjcbtPbTqdtsc12ekBkolRB03J58YYZ7pLLYuzhRyNRu2GGkzk3C7eoEBbstxutgw5PSdH4TIh8X3JNbxUiScaul4+pklZPtfyrpa6hSBccqokTZF+0fK2ngDwf/1a9ytPSrQ1q59PGLR6wVsx8vaiYdfpSYeWvwVaSudzZDcxeWayoUkQBPYzvYsYl++Dvzw87h/sWWLmAKt0Oo14PA4gPHLa5eNkC4gHeNdgqwdCLXdye7iNsguQJDsRkpWNHpiUXRadHsS1lavJVU8+wixfLptJTluaulwNOU8mJTrAi58FT4Bc/mX9nFzyedjnmpxdkfg8CdNWrisJjFjpvH2j7lPtD+fvg/7uuFwTPCmQ9smkolQqodlsIpFI2E1Y+B70s3VNHjw8PPYf9iwxy77G8XgcmUwGiUTCaTlqK0ITDlukfI2OqHZZgjywa1LW7RRIOWz9cMCTjjzWg7aOnGaJXNrERKD91lpJYCtP36uejOjrtM9WKwH8WvyxLL1qctZLg3aahHA7WQ5mRcT13PS9uUicj4XFLLhiDLh8V1+4lAAuW1K2yuYs7NIIgsBGv7OyId+NO7Q3s4eHx13GniVmkVJFyubAJ/ncRao8YLosHf7jgdW1DSSTmgyoXG4ikcDQ0JC1ZIwxHZKj9j1qeR3ozHnN8nGY5euSeZlkmNxFrpfPeBLA4HqY+LifuDyWzLX1qPdF5rZrqV27GdgaZVLnugTcx9wH+n64XpGsuS9kQwmeEHEsgH5G7GvXkx85V/cxE7OOH2g2m6hUKvZa7oOwNfIeHh77G3uamAHYbRN5wOegJG1d8ODFiSP0oMbkx2XqsnhDDW5XEATo6+tDJBKxuwRVq9WOiGsth3ezDOUctrS5rVy3Bgc4AdcDtMLybGuwZcrkzO3mICghClmry+1mktaKhCb5bvek26zbry1cbjcTH5clgVaSl9xF6NKP/B2Te+X2Mllz+6R/9L2zm4NVBiZdrXZo2d7Dw+P+wJ4kZpZOY7EYkslkRxJ/HhB5sNY+SZfV5XrNAzwTK5OSXMPWciaTQblctpHamixcAyufwwMxW2kuqz0syImtVoGQqExmWKrV10qZmqh0X4kSwEQoCTRkEsBE6CJpfi4a3C/cDlcwFPuROUCN28gE51JOdIYyrchoUhepXt+PnmzxRI/Pcy2Dk++ZLLGSiY7+HvP5Hh4e+x97lph5D1rt9wuzJPTAxdKggJc2ueTRMFLUxCAZyOr1OoaGhqzlyIOzpMzk9rm2UnQt8ZF6wgZjV9ulPGmzHJOBX/pTX6ulbD7u8uvz/TCpiNXM+xRz/3PbuA+4X/Vz1Fa8lMUBfSydy/XSdn3Puk5pjyyN4gkf18cbTEjfhlmy+nsgdbm+T9p1oJ8Hl+fh4XF/YE8SswxWkpTBNbgC2DaQajD56c/14MyWpQ4wAjpzQIuV02q1rEW/tLS0bfDUWzFKmyWIR7ePrS22HhkuqdwlE+slPZogwuphuVpPiLQsLe1haVsmJDpwShOji7R4EqAtXQGTHj8XqVsCqqQd0na22F3fhbDgO+3CkHvW0jaXK2oBl8HfX03Moj5wUCLfL6s3Hh4e+x97mphloOTgKoEepFwDPg+ELBPrXNv6v34tg74QajKZBLBpRcXjcZRKJVSr1W3t08Qp7eLNJzQRAG7frB6ctQrA/aWjwDli2kVMcpwtWqkrTA7m10yoOhGJSy53WaUuUnZZ6Gy1cjlaRtZWOpOjyxKV11rl4OQfYZMTOaZdEdJ38v1haFVAAgz1edov7eHhsf+xJ4lZBt8gCFAul1EqlQBctza7SX4uy5AtRH2+670mCpE54/E4giDokIZbrZZdj8qkIgOyCxycpLM5CdGJ35Y3WdBt5oFfTybkHsKIgUlJ7lXX5/J5cx1yrZAWr91mYpKy5Xy+B5f7IMyilv5mMufJjJbRecLhssq5fTwZ1BMhjn43pjMQTqsUromPq9/53mRpGQeIsVvAFRDo4eGxf7FniVkG+Xa7bTeR18t0BK6BUEt/LgtWS8VyTMhGXstSKba+hIhluY1LfmWS4HZyO2SQ15YRk45cw/chYD+uJlpNMjzhcPWb7l9dnv6MCZzPZ1LUaUf5/vm+GK7lSnpi4LK2dRlMpDLZc01g9ETAJWlzX+j3fB27Q/RGHPo7Kf3J0rXuO/kNdIs38PDw2F/Yc8Ssrd9ms4lSqbQtWlrO6TZYaeLlAbCbhM3l8qAulousPZXPtDXrIi9pu/ZNNhqNbf5gJgYtebqis7keHVxmjOnYwEHfs0s6dvWzhp6IcFnif5f74GjjWCy2bRmSVho08YY9H+235bZqlUT75rkfdB/w94XVDVYp2B8s9fAERX8H+PnxBE8nv+E26vv3craHx/2BPUnMPOjxwA50+iW1BC3Xy3/XcZekC2y3PLX0yWXyWlheosNkxnsAc1u0JcyWodTt2rGK26p9nUz2XLZMJHjfZG4LD/xM2prg+f7DSFPAPm4haHFBNJtNVKvVbcFhYfW6JgxMlpqURQoWNYODsLSvXEvqLH/LMVYQdPCf3Je+d+4rDb4nfp76mjCS9vDwuD+w54hZJED2vYqU3dvb25HPWKDJRv6Hyb9MUFo21YO35FbmvZeljjDfn6suOV8TjpZptd9TRzRrP6aLZHU7uEx+Le3gKGNNNq562GrU/ekKIBNLWYjaZQnrCQLL1EzIclxbmvw59yUTNNehJWg57iJ7hrbCBfo7y5MXV1Q6TwB0RLgmbj0R8vDw2N/Yc8QssjFHYjcaDdRqNXuOHoC1PKmt6jASCIKgwypiqVLOEwmWCUwsvrCMYC5JlEmL28ZbU3I9riUy2uKSsqUPpGy2/rk9LklVqw+uHY40dBtc9+2aDEkftNvX90mWtvN+w9wPmox5MsMkqY/zREb/uaxmfo4ygWKVRpOmWNQuZUZP1riNWqLWEx5pi74vDw+P+wd7jpiBTgtYBjnJcSxE5pJ4mdxccqEe4LSkrKVZlla1/Moyo66H70FPBgQyOOstJDUZh00wtDXF7eGodm1t6baztSZ9rTNo6T7h/7qvw3zTHPXM+xDXajWUSiXbFxxkx/cg7WKLm/2/+jnrSGxRYrjNLsWC+5etf04JK8fkvrgP+DvGz1LL1FynnhxpVcA1EfLw8Ni/2HPEzGQIXN8HmC0sQZhkrD+Tz9nqCfMBcupFsZC15aVJOWxQdkG3mS1yuQcdzStlMwFrOVnfq8AV2czkIgTksvK1P1zaw+dp8tDvteXH1/MStGq1imq16my36950u4Q8pVyeIHD9YVaynlxwzmz+71IY9HNwRcrzOXqSw89YR+e7JnUeHh77GzsujjTG/LIxZskY8zU69tPGmDljzLmtv6fos58yxpw3xrxijHnX620QD2Rs8QDYFhTF0iVfA2y36JhcXaTM0bVaPpTBWgKa9BaQPNBr0ub76iZLy6Asf9oiZr8o+z3ZeuRI6DCJVPeHkBi3XQffcR26Xdx2njzx+Zqg5f6FKBOJhO1Tttobjca2CZkspeO/IAisFS5/Yn27pGa+Z+mDsIma61y26iUGgSd08ifnRqPRjjq0suOy3PWzuFWS9p3+PXt4eLx+7MZi/hUA/xrAr6nj/0cQBP+CDxhjTgP4HgBnAEwC+FNjzIkgCNyZNhSYhHngj0Q2N7PQA5+2PsMkVH2M32sydw3Qem0qS64ui0YPsHxMW1zyX4hQW3lM3MZcz03NZfG2hlxft2Airl/3RTfLvVsfc9lMvLq/dQQ4qwDA9UAqnfFNSFnXx5t18GcsP2vJmevje+d7EOmcA7P4fO4fnnjo74W0ke9XnqdWQrTqoAMGbwF+BXfo9+zh4XFj2JGYgyD4vDHmyC7LexrAbwZBUAPwmjHmPIAnAPz5bi7WhCbv4/E4YrEYAHTsZ6sjjF1ky+W53jMZspUi9dVqtW0kyoOxS57UkwQmY01sLpKWsvleeEDnNbXcdy6rXC8T4ntmQuC2ymstg2s/vKvMMAJnP7q2FsUq1n0hf2IZ82RI2i3fhyC4vmmIrkfqd/WvtI/Xqku7eDLGn8n18potaNfkUVvF+hnpwDOeNLiCAG8Gd/L37OHhcWO4mTx/HzHGPL8ljQ1uHZsCcIXOubp1bFdwkaWQZDwe7xiQXSQkn/FAyfKwWD78Xg94PBhra9F1Lsvquh1aHubPw8he34e81xKqtqylr+S9jvBliV6Xr5cVSRlCmExUbPm5ynQ9T26PWLZa8pbsaQBsNjVjDJLJJNLpNOLxeIeUr6Vz6SO2ql0TJL4X7j/tPmAJ2TX540mKxEBIm/j7xXWwkqDPCXOx3EJLeSfc8t+zh4fHjeFGifkXABwD8BiAeQA/+3oLMMZ80BjzrDHm2W2N2hqkhIii0WjHRgwua1KTpCZVqnebr9lF9jzwh1ksbMkyUfEAz+1xTR74XnXZcpzL15MWJhj9ubxngtSWHPe3JlnuI03iUh7XL9Ayt2tSwmSto62BTQs2lUohkUjY56GlZ/b5uvaClkmJVllcz05PHvR53H/8feO+1klZpBypX08Q5Vij0UC9Xu/IA6+/B7pfbzFu6e+5gdrOF3h4eITihqKygyBYlNfGmH8L4A+23s4BmKZTD24dc5XxcQAf3yrDjjhaRuSgGz148jUamnx4EOXBlsviyQBvNykSo0uG1ESs63fVrScOcsx1L64lM0wATAyAW7JlEpL28PncdpHnw7bUdKkGfCxMhtX9JufU63UUi8WOexKFJBKJdJC2TA44kMoVvc3WLy+RYsmboZ+TniToNKph/4HrS82kXlnm5/K1c31h4P68XcR8q3/PWTPkw8g9PG4CN0TMxpiJIAjmt96+D4BEeH4KwG8YY34Om8EixwF86XWW3WHB8cAv1rMrSEqu1ce0P5Xhkqq5fqnTJTtr2TOsfilPLCW2zF3WryvISEupmsiZSMMsWG356c/43oUstKWmydX12mV1yjlMsEEQoFaroVwudwR5RaNRm09bJG2eLHA7pT557fKVcxu0vO2S3sOsaLa69fdIP3/eJYr90/rZaktcPw8u3+V2uVW4nb9nDw+P148didkY80kAbwMwYoy5CuAfA3ibMeYxAAGASwA+BABBELxojPltAC8BaAL40eB1RHDKgKsDcYDrlh+Tmsti0SQsg6wetDUBawLkCYC2MF1EHkYG3GaXdSzvXUFHDI4MF5LiTFguS173CUNbcHpioC1yTVg8cWGpXsvRuj+EtCSbW7PZtIFdkmyl3b6eGUxIWz7ThCzns2Up7WDpmAPH+DsjkyaZMLgsVM4O53JtuGRv7k89wdGTK24P9z2fq8+5UdzJ37OHh8eNYTdR2X/TcfiXupz/vwH4326kMSJj8mDPcrb26/F/1wAmA6MmOWqr/S8SqVzP0b5Apw8RwDYrje+BrVc9yMo9hQ3WevDVJMHWLBMO9w23k/uDLUI+Lvemo7C5T/Q9CiR7l/QF94fIuNpXL4QZiWyuYZZ1wBIEJtfJfUh/yiRIy/DcZm6fniyxpc3t536Q69gnreMaGGETQf3c9LN1qRc8sXGtrb4VUvad/D17eHjcGPZU5i+xkHp6erZJkMB2X60cc5GcjqjVkq0meSG4MF82n2+Msds1MqGxde6ql8vUA7Lcv7zXROIayGV5kFYTdB9xvZpU+Tpuj05zGdbXEiQnkrPOvsV9I/3Cy5qE9Gq1mk0oovvFRZQA7B7d2mLVlq5Y3ZxVi/3A+hlzYBZHnrMqwP2hv0thBBw2WeLz2NrX8QK3gpg9PDz2PvYUMQPbd+xhnyOwPRIb2O4Ddfl8+TMmS7bEJLqXz5XX/BkvQeLyeGCXOsMGUxdxh5E1k7MQkctCY9+8qy4+V45pAmALsxuCIECj0UC1Wu3I0NVutxGNRm0/sTwtdetlRUEQ2J3DpD0sg7Ofl6ViOSYBV9w2djHI7mDcTzpOgfum0WiEZlHbzcTQ9axd31lXv3frb560eHh47F/sOWKWQd2YTT9vJpNBJpPpWPqirQu9bEg+c0mBWuaVc5lg2+12h59brms2m3aSoIO4XHI5R0TrAdkFbjMTBVtkejLCdes9g3ciaWD7BhBaztZqgCzpEdlZL/Pp6emxWzxKO6vVagcRc7/KOdL3ktiFfchSvvS/3hK0VCohlUrZbSX5/l2qg3zOEywmYb2LlW6jfqbct7rf5F5cz4CjvfU1+nlL9LqHh8f+x54i5iAIUKlUOgbUTCaDVCq1bVcpLS1qctUyrq6HrxVJWqxR9t1yEgtNwDJoComL/1Re6/N4LXBYhK6+lo+5dlHi+3cpBPyZdgnoaF8ty7tUABcpSxmxWAypVMqW0Wg07BpdHZUedt/Sl1I2xxc0Go0OS5x3/pKAMd4Zi33TrkmK633Yjk5M4vKev0dyPfexK2CxG8G7pHLpi42NDeRyuW3fCw8Pj/2HPUXMADoIJBaLYWBgAP39/R2kpCVA+eOdmlxBS2EDMxM7D5g60xZbbCx5hpWr/av6PsMiy3nAZgtWByDpvaR1f2hLTMvd3G4tx7ueiQR6CeGyDzYWiyGRSMAYY6OtxQ/PZbgmCGz9syytrXqZEIg8LZ9LBH29XrfXsUTu6kMOItPZ4bQlq5+pS71w9aXeZpJVEP3c+FqWueW+SqUSyuUyPDw89j/2HDHzgBSJRJBOp5FMJu3yIKBzKz5NaC7fsZaDXfKmDOSyWYYMjmw1CxnF43Fbv17fqiPI9UDuImsmAJeF5QIvn2IwQXM/yWdhE4kwxYHJV5Y4iQUs9ScSCSSTSQBApVJBtVrd1s98jxyUxfcoEx7J+sV9wM++Wq12lK2XkvEf3wsrIq6JCD+DsChvVz/ze/7+8nPQ1rcGk7RWFKQMiX738PDY39hzxCwQaTSZTCIWi1kfrwxgWsZ1SYhaTgSuW1/si9RkxOfG4/EOmbTRaCCdTgPY3FxjY2OjI4BK5FUmaIYmAf0a6IyW5vZogndZW5oAmOS5v/h8lte17CuELNK1kKmULc+nXq+jUql0kJ6UK2uU5d64/7mtiUQCqVSqw48PXE/ZKRMDaYNMjMRCl4xhQu5abtZ94Qosc0nV+vvB5/Hz0dY2P3+Xn1mX63qO3aR4Dw+P/Yk9R8y1Wq0jAEjnlAbC137yMR7weLAV6G342IqTdbWu5T2lUgnGGMTjcevnLBaLHTItW8q6zS75UreP10GztcVWnm67llcFfNxl8clrsSb5PF4KJeTHkdeJRGIbKct98F7E/f39GBoaQhAEyOfzyOfzqFQq1mccBAGSyST6+vqsYsHPVp6H5EwvFotWtq5UKpibm0Or1cLAwAAGBgZs4Jn+jujlT/yZSPUcvOUKGpNrmGhZ5uZnqv3V2jp3uWT42XBQmt6X2sPDY/9izxEzWwi82T0PTi7C6yZpu/yC2gLREcBSn7a26vU68vk8JiYmYIzByMiIJSVugw706SZf6lST2hfKbeRr+T60ZeWSx/k6TSwuGVXkewnEYslYJiZCsAAsgcZiMWshDwwM4MSJE5ienkZvby8KhQJeeuklXLx40fp1Y7EYMpmMlcM1uG+EQJvNJkqlEi5cuIDZ2VlkMhn09PQgmUyi0Wh0uCT0s+f+EsJmOZ2t+jBrVpMzt1V/P/V3VP/Xky99vhC8TEY8PDz2N/YkMUvULadRFAtML0FyyYHaf+g6h8kvCDYDu6ROboesHY1EItbCy+VyGB8fBwArv25sbNjrgO3rpvkzbS2FWVNhkdt8vZa3+bWcy5MDfa4rEEn6Q0hZMnHJZEnk5mq1ilqthiC4HvwlVqv0o8QHrKysIAgCpFIpTE9PY35+Hvl8HkEQWEt4pwmX9Kek8Gw0GlhZWUE+n7fyN5Od9KFMsFwErfuWJ1Qui5mfa1gZWqnhz3XZWhLnZ8rbW8rEyMPDY/9jTxKzoFaroVqtAkAHSfNgpgdITV7aymQJkwdZ9jkLRD4VopK68/k8lpaWMD09jWaziQMHDljfp8sydknw2qoV6LWzriVGYaSqfdNcJ/uQuU3aD85qgZAyS7KJRALRaLTjfuPxOLLZLCYmJjA2NoZarYZKpYJWq4VKpYJisWjrSyaTGBoawuDgIFZWVrYtidIWqVYseOIm71lJ0X51rQxoctOBgdIn2gcsn4dFVLv63GU9c78zgbsmj8D14DvXlpAeHh77E3uOmHlJTKlUQi6Xs++B8MQhApY95b8O7OEBnglAypLyRY4VIuABcnl5GaOjo9baGxoawsLCgr0Hbo+2BrWlq9vO9ycytyYUJhFtqem26gmAlkt1e8Q/yikymZQlEEx8yf39/Th+/Diy2SxWVlawsbFhr5X+5bXH0WgU6XQamUwGQRCE7kWtJzk8UZH3rK5oRYTJme9Zu0N09LuLcFnqlmu0BK3vQT9zPpcJntvF5+ulejJJ9fDw2N/Yc8TMpNlsNrG2toZyuYzR0VEkEgk7SHWTI4HOvMhSrrau9YDM78WKEwldCEAG1VKphKtXr+LQoUOoVqtIp9NIJBKoVCrOerQ/Uf50bm5tPbkmDLrN2sKT+5X2yjVh5KEh0c9irUnfyXphIddoNIq+vj4cPXoU6XQaCwsLyOVyVn7lZ8ETpGKxiJ6eHqTTabu0StojbXUthZPnItKukKMEmUmEuNQpxKz3V2bLOcyHrJ+ZnKvJ02UpC1gFcJ2jreQwa7pcLqNcLvuUnB4e9wn2HDEHQYB6vY5YLIZ2u42lpSUsLi5iYmIC0Wh0W3BUmEWoo6OZ/IDty1nkOpaFeZ9gGfwjkQiq1Sra7TaWl5eRyWQwPDwMYwwGBwe3WfdMMt383JogpD36vS5DW31sfWqilvP0JiE8gWC/Mlvp4ituNBqIx+OIx+PIZDKYmJjAwMAA5ubmkMvlrB9ep8bk8svlsvVTR6NRW2cymezwrfOz5fZy1jEhffnjJVNCyi6r2dVH/MzYWudJD39HGPr7pGXz3SoX8tdqtexzkH2r/TpmD4/7A+6kzXcZPIiWSiXMz8+jUChYgtTJI2TQ4wGawdIoX6tJkz8TS1aWCvHG97KUqtFoYGFhwS4lSiQSSKfTHZY3t1nes0Xtkua53XIet51lZ60caEmWpWkmYFcdsikFb0wRBNeXKwGwlmkymUQmk0E0GsXCwgKKxSKazSZqtZrtLyYjDmKqVCqo1WrIZDLIZrPo7e218QQyGRK1QsvaQlLS9t7eXjtJkNStck8cPOVaR+x6Dpqk2drWVrzrOWg3BH9PNXQAn3xvZFJYLpdRKBTsM6lUKs7viYeHx/7CnrOYgc5tCiuVCubn57G2toahoSFLEpx+UUvHWmp0WV4s0TI56zZwufF4vIMgG40G8vk8rl69iqmpKZsko1gsOuVrbbHpyYVrcNcTCAZbx3oNLVuJroAlbWkLIXAmM2mfREG3Wi27f7JI/Pl8HoVCoSNnNj8X7XYQiVks7+HhYUQiEbu2WdZI8zpzmVhIUFm1WrWEK0ukBgcHbZ5umQCEWaQMnjBp9cIVLOf6boUFhOn38l3Tigp/D/i70Gg0UCwWUSgUbBpUDw+P/Y89S8y8ocLGxgaWlpZw6NAhm9SCZcoweVBL1XJM5FzXNSxV8qApS4ZkfawksZAo7VQqhaGhIUvObNVJufJey+sscfLArC06V/sEroFd36MOIBNrXiRm+WMLUuRhuVZIE0BH8hEm9CDo3IVKrG5uh+R/TiQSGBoaQrPZRC6Xs8lahPw5j7WkAuWlQ0LKQ0NDiEaj1g/Lfm6XD173GX/3wuCStLkc1wQPgLXixefP8rqWx6XvREEQq7lcLndtm4eHx/7BniRmGbxisRiazSby+TwuX76Mw4cP48CBA5YwxPoKkxp1BK8cY0JzbVgg0GtNJdJZNmuIRCJWul1ZWUE0GkUqleqw9lyTA71kS08stD+Yy9NkHLakSO6N3+vlZlKeRPyK71xPbkTSFbWCU5UKkXM7NLFLXfV6vYPU5R4GBgYwPj6ORqNhpVupW8cTsNsiCAIMDg5icHAQ/f39MMZ0WO4ih0vkPJeh1QRpi5TLaoomRBcB676VpXYcPCjPRCYZLoVEvvsiXYvFXCqV/DpmD489gMgjD6I+kkbvnz132+rYs8Qsg3673UaxWMTc3ByuXLmC/v5+S37aKmOrkslNl83Wsbaa+DotbQqZSDISsYLq9TrK5TIWFxcxMjJig8Tq9bolVyYsXsoj5buITFt43BYtwWurTc7VExGBkLasNdZ+Yble5HsAyGQy6OvrsyQnkcKuCHgt+bbb7Y61xyLLShDXwMAAKpUKYrEYisUiSqWS7W+5J87KJQQ8MDBglQq+V84oJslHXAFh7HvnrUW5v12qB39/WIrm9KHxeNwe1+uQZX28XnYl91utVrGxsYG1tTXk83mbKtbD436FicaAh45j7X+t43sOb5Liv3722/DgR8+jldtM8FT6q2/GxrEeTP3JBiJXl9BaXr7JSg0ij55CYAwWv6kf9X7g+//WZ3A2eQk/9fW/gpEf3EBrcelmb20b9uwvvV6vW8u02WxiaWkJ58+fx/j4OA4ePGjlTllPy5YhB+RowuW80tpSYWhCFOu33d7c5UcIV9ohKSJ7enowODhorX0dncwWKZOxtN+1XlkTONC5jlZL2PK51MsJVBgsYfMkR8qTQDch1f7+foyPjyMIAqyurnbsMqXvSa7h/uS+52htCXaKRqMYGBhALBZDEAQoFAodUri0RfzNAJBOp63UziQry7vEWtZBc0zOTOg80ZMJALsEeBLIFrlYxlI3W8na4udlaPqZ8jIweS7atePhcT8i8sBh/L9/8An0mOu/g499x0U89Mt/G7VvnMax3y0iPVfBX/mf/zM+9tGL+JYX3of5v3gAh/6kjvkn4xh/to7YZ57dXV3pNC78g0fQSgT46vv/T2QiiW3nfOkNv4N3/cZ3ouf9Q2itrt2y+wT2MDHL4CWDca1Ww+zsLCYmJtDf34/+/n5rdfCgzBalhkvS1UFeYf5b+VyuY/+lDMiyoQWwaV2y1SxWNO8rLeW55HS2iLUVrS19l0TNbWbCYqtPCJH3lda+ZQmm6u3tRSKRwOjoKAqFgr0v/uPIdW4v349LpQCukxLvXqWJVMqs1WooFot27ThPSrgNTP7sVtCKCrsquA/ZFcKTCC5fnisnOdEuB9fESAfZSdtl6RjXKxM/bzF73M9Y/Oemg5QFX3vy14EngV9/3zBeLE/hX//ZO/H+9/4sPv/w7wEPA//fX0vgWxM5/OdqPz5fONlx7Wd+8a1413/7X/BH/+ateOeH/hw92PxNxiPr+IOR/2urvu2kbK8/9Qc4+//8DYx+931CzDJQCzm0Wi2srKzg+eefRzqdxunTp9HX1wfgenJ/tvj04MiEpAlCQ5Oy/mOy09ZRs9lEuVxGEASWOHi5lZTJdekJAZMsn8/E4rLAXfcq7zWBNxoNVCoVVCoVp2Uvy5BkF6lIJIJyuYzV1VWbblPKlNcc3MRLnYRsNSHrCUoikehIHiKqg8jd7fZmYhfJuz0yMmKTzuikJnL/PKlhnztPQLTKwP2v3SRM9kyeYd85sbqlLJlE6vtnK7lYLKJarSKZTCKdTiMINoMOJXmKh8f9iG8/+I2un//tvlWgbxX/9K89DyBjj//lVBVAAu9O1fDu1PMd1/zTf7z5/p/+o87jm9idQpX/xiBGd3Xm7rFniRlAh8Us769du4YvfelL6O3txalTpzr2A9Z+PJd/lolQju00sPKAzcQoYClTBlepmzNRsfzNxMABRy6/stw7t9cVoSsWnpTjes8EwJYy369YywCQzWaRyWRstq5isYhKpdIhTcdisQ7y5Qxpeu21hvSH3Hc8Hkej0bCEK+0RwlpcXEQul8Po6GiHZW6MsZnJuD9cgVraipb+0YFfwPW0rNz/ul79/eC+lHLDNtLgtvCEqVwuo6enBwMDA3ZXrlQqta3/PDw87h6+0SjhxC8u4laHZe5pYpYAoUQiYYmkVqvh8uXL1vd8+vRpZDIZa20J2Wi/noCtHbGG2FpkYtQWJ1taPACLRSRbHtZqNStHBkHQkXaT02TKoC7kxXXJaw2WhsMGeXntkouDILARv5LLmuvniOtms2knHZlMxtbP/St1yVIl7vd6vd6xl7WUr58FALuGORKJIJlM2vJKpRLa7c20lLOzszbbGu+fzZMO7kNec94tnoD7i/uSX7O7Qm8HyZnUtBuEwYFnus52u22jsDc2NrC6uopIJIJ0Om3vZXT0Vs/LPTzuHfzOF96Mf/bXzt3tZnTg6f/nx3Ho/H+95eXuaWKWZSXJZLJDJq1Wq5idnUWlUkEul8OpU6cwPj5u/XwizWrZkAdNV/St/NfE6AoukzKMMdbfKgO4bPTAKRSlzEajsS1QiNvHfkeui9vGVrw+znVp6036s1wuW0JjEpP+k0xmIyMjiEQ2U5DqQDCWqsXq5g0eGHrJmCgH8pm4AyTYKR6Po6enp0NCn52dxdzcnE0oEovFrLXNz5gnATrXN/eNRlgktp7sMAnr75Tue3meHNAlkyN+LdnQ8vk8crkcCoUC8vk86vW6nYRkMhkcOHDA2XYPj/sBD/7CGlp/te30M98NfGTuzTj6yaVbbi0DuxDRjTHTxpjPGWNeMsa8aIz5u1vHh4wxf2KMeXXr/+DWcWOM+ZfGmPPGmOeNMWdvtHESDMODr0TY1ut1zM3N4b/8l/+CP/7jP8a5c+ewtraGIAisfzSRSCCZTCIej3dIkjIgCiFImZrQWDaWQZ6lX/lcBmuO1paJBC9D4oFYpF8mTx0EpolGW1x8net8qVOimCVZhayh1YTS09ODarWKUqmEdDqNoaEhAOhor2zTKOfH43Gb8EX+JFBJpGXtX9apNtPpNKampjA0NIR0Om2D+qT9165dw5UrV1CtVhGLxezzkj7h9rOFzBMGtqD12nAA26xqKVP+S30cwKcVCSZcPYHi1KBM7JIGtVwu26xmlUrFTqBWVlbQarUwPT19S4j5bv6ePTxuBiZXwI8tPHG3m4HPVnpw8gvfh9e+awCtV87fljp2M/VoAvixIAhOA3gSwI8aY04D+EkAnw2C4DiAz269B4D3ADi+9fdBAL9ws408ceKEXasqlh1HQ+dyOVy4cAHPP/88zp8/j42NDSs3RqNRu7GBLJ3RSR+YIAVMwjL4cqAV/zEhcaAScH1AZpKUQVssRC0BM7GyHCuEz8Rmtny6TEh6EiCkLPI1369YpqlUyl43NjaG6elp9Pb22jaKtc1klUgk0N/fj3Q63RExLMQl9yrtlv7n59fb24tkMmmXYvX19aFWq6FUKqFcLiOXy+Hq1asoFot20wshZz2x4f4CsG0CpN9rpYF9/0zGXLbcu16CJcfZp871yh9P8KQ9nOFrY2PDJlmRa3p6enDgwAEb7HiTuOu/Zw+PG0FzfgGf+dTdJ+b/9eJ34sjfeB7NhcXbVseOUnYQBPMA5rdeF4wxLwOYAvA0gLdtnfarAP4TgJ/YOv5rweZo9YwxZsAYM7FVzutGsVjEwMAApqam8JWvfAVra2t2+dHQ0BDGx8eRSqWsVbi8vIxSqYRsNot0Oo10Om2tOrHgeO2ull2175AHbR5w+Xy22nRKS5GGpc1sdW71qSUoKWMnf6iQgc4nzZYpL4Wq1WqWkIDrqoOQZD6fhzEGIyMjOHbsGNLptL1OypPXwKYcH4vF0N/fj0qlgrW1NVuHlC/9x+0V4uPIb2OMzZOdzWZRq9WwurqKfD6P9fV1XLlyBWtrax19w4TKMrZ2A7Tbm3t7y3rmsDXsWn7m11yWzqTmup6/C/IMZHMODmKUiY5MQnK5HNbX17G2toZCodCxTnt4eBjZbDZUhn89uNu/Zw+PexkfnnsSqe+t4nZvwPq6fMzGmCMA3gDgiwDG6ce5AGB86/UUgCt02dWtYzf0Q261WlhfX8cTT2zOlF599VVUKhX09PRgbGwM9XodFy5cQLFYRBAE1voaGxvD+Pg4xsfHrazNWw3K4M4WpAy6PNBquTdsmZKWpMWyZX+nrHuVc9gnK8FiLKkyAQmxaV8tnyfHRFZnQmbLVdoly6WCIMDExAROnjxpiVqsa2mrtF0suXQ6DQDWwpPArSAIrGUt5MtLfZjwRLmoVCpYXl62rgiRdJeXlzE/P2/3uOZkG64ANL12nYmZ5Ww9+XFNzqQfOShOP2/uc34OMvkTi1dec33sYqhUKigUCjZXOG9WkU6nMTk5iUQifC3ljeJu/J49PG4GkQbQCFqImp6dT76FKLar+OZ/9jFMfnYFrYXuy7ZuBXZNzMaYDIDfBfDRIAjyyqoLjDHuUNTw8j6ITWmsK4IgwAsvvICnnnoKZ8+eRS6Xw8svv4x4PI5SqYS5uTk7oAObRLG4uIhLly6hr68PBw4cwOHDh3Hw4EGUSiWkUinrx5TEDZLBigdiameHbM2fS2S3Xu4kAy/7mgVsdfHyKSmLSYLlehnwmVxYLtVLoESGFyIGrq+x3tjYQLlcxuDgIGZmZnDw4EEMDAzY6OdCoYDV1VUAsBMZ6StpnyTCENIVC4/bJW1OpVIYGRmx/m2Ro+UeZVLS09Nj162vr6/jtddew9LSkl3PLvch/ldJF6otYfluSp/WajWbCITbxs+Yv2/c31qm5vL5M7aW5TmIpaxjAORZlctlrK2tYWlpCUtLS9jY2LB5woHN3cwOHTqEqampjud4K3A7f88J+GVdHrcH0z/7HE4c/O/wQ9/8efzDka/fsXr/x/m3YeJXXkCrULgj9e2KmI0xUWz+iH89CIL/sHV4USQtY8wEAEkYOgdgmi4/uHWsA0EQfBzAx7fK7zoIFAoFXLhwAX/5L/9lrKys2ECgrWttcBgPzmIxio/y4MGDOHbsGMbGxlAul5HNZpFKpTq2NJTo6q32cVud1rP2U7KUypYmk7lYTjLI1mo163/V0d/s0w2LKmbrkYPHxAdbr9dRLBZRLBaRz+cBAH19fZiZmcGRI0cwNDSEnp4eFLa+cLKNo/jlpW8liYvsxSzWXiqVQl9f3zYJX/pLouiF4EUp6Onp6Vh7Ho/Hkc1m7RKpa9eu4erVqx1EJTtSCYFL34k1zM+KXQUiy+sgP37O+nm6VBMXoWvXhjwPmbjopXjiW2ZSXl5exsbGRoel3NPTg/7+fhw5cgTJZNIqHrcCt/v3nDVDr4vUPTx2i6BWw4kPfwmf/Km34x/+93eGmD889yQufeAQ2oXbbykLdiRmszkS/RKAl4Mg+Dn66FMAPgDgZ7b+/z4d/4gx5jcBvBnAxs36o8rlMj71qU8hnU7j0KFDePOb34wXX3wR8XgcBw4csCkadRCXWD25XA6lUglLS0s4efIkDh48iEKhgP7+foyMjFgrzRhjyYJTL0rUNZfNvkdX5LEQgkQo8+YGUr74WEUe5nZouVUiqXkiIr5qIQfZJapYLNpo8EqlYnNQT09PY3x8HIODg1ZSz+fzNjJa1APZJERkVrZo2Xfe29uLwcFBZLNZtFotbGxsdPS9MQaxWMz6R4WUg2BzLbX45IV8ZSK1urqK5eVlm2FMzpf+DoLNrGrlctkmQ+FIaW6D9I0Qs7Rd+5A1GXPkPrsW5HN9nxzMJaSs3R3SvxJtvbS0hPX1dXtvbBX39fXhkUceweTkZIdqcrPYC79nD4+bRd/lNp6r1fHG+O3LhvfH5Sj+yfnvQvYDRbQW7xwpA7uzmN8K4HsBvGCMObd17O9j8wf828aYHwIwC+D9W5/9IYCnAJwHUAbwAzfbyCAIcO3aNXz2s5/F448/jmPHjiEWi+H8+fPo6enB1NQU5ubmUC6XnclFhLQke9Ty8jKmp6ftBvSDg4Po6+uzxCiDKw+sMoizj5EHbS1Zcxt0Xm2JdhYZnN9z1LhY8lI3L8NhghYClW0b6/W6tUDT6TT6+vrQ19e3LUkG74IkWy7KxEGiuOWexNoUIu3p6bF9JsuqZmdn7RppsazFv7+xsYFardZBstFo1PrB4/E4Wq0WSqWS3V1Koq95PXi1WkU0GkWpVLLHYrEYUqlUh0tB+43l2bfbbZvARFQGlxXNKocuT8cV8PdL1oDLH0vXcm8SbV4oFDp8z9L2dDqNxx57DGfOnEFfX5/9ntwKYsYe+D17eNws+n/9GXyk/XdQPBjBf/N9f4KfGH71lpbfCFr46Ln/BtN/7Wu3ZZ3yTthNVPZ/BhA2IrzDcX4A4Edvsl3b0Gw2cfXqVQDAlStXcObMGZw9exZXr15FOp1GKpXClStXsL6+bmVVJlIhtFKphAsXLqBcLmNychL1eh2VSgUDAwMYGRmxVpWQEKdSBDoDhTjoh+7f6Y8WAuUlP1K2WOQyqRDJVwKuXIk0ANhyEomEJV7ZbIKXJQGw1i4fl0lDLpdDPp+3/mAhcImulsmDyK9iqff19aHVamFsbAxDQ0NW4hZZvlAo2AhjIexIJGKj1DmQS+5XIpVrtZqV0mU5liTiqFQqWFxcxODgoG0bAJsliyVntqJFQWi320gkEradDJkAyXMNs5blHNduUOJXFqKu1+vY2Niw/Vwqlaz/mf3QkoLz7NmzeOKJJ+xkhScmN4u98nv28LhZZD/5DLIAfnHm2/Cx7/76LQsI+2ylB//oJz+EI3/26l0hZWCPZ/7SWF5eRiKRsGkLH3roIUxNTWF5eRntdhvxeBzXrl3D0tKStR4FOlBqfn6+IzL26tWrOHLkCA4ePGgjYGUwFt8fD/JM1hzF6/qciZqXLDGhS5IOIWq5RvzMTKbcFo42Zslc/8VisY6I4VKpZGVq8YVyQg6W1MWSrVarHRK/kJKslTbGoK+vD9Fo1BKokH0ymbR+VMn9HI1Gtz0bhlj12WwW7XYbCwsLNkWnTJxYjhYSF2tYux5YvWi1WjbxDEv0/Dw1GXOAHz9f8cGzjF2r1VCtVm3CkPn5eSwuLqJYLFprGkDH92FwcBBvectb8Na3vtV+H+R6/j56eHhcx8mPfhVvmP3v8d7v+QL+8ei5myLoo5/+YRz8gx5kfu+Ld42UgXuMmNvtzd2F4vE45ufnsb6+jhMnTuDhhx/G0NAQLl++jJ6eHqRSKczPz9tBkAdRIZxGo2HL6Ovrw8jIiPX9Tk1NIZ1OdyT2EKsGcKftFPLUhCzg88X/K6TAhCwkwWtegetBY0LGQogse4tVLXXJxKNcLm+z6vQ2hEJcYsVx4BonQWH/d6vVsmugOWe1BHyJbNzX12ezsInlK/ckOc6l/0QhkM+j0SjW19exsrLSQVCRSMTWze6KdrvdIdtLe5hURZlot9sdCgZbyhzUxdfJ5IrvlQlZ+k/yXossL2uzJYaBv4s9PZt7eL/97W/Ht3zLt9jnL/cokxktz3t4eGwGhE39zH/FX/zKJJ7OPICXPzaK73riL/C3hp7Bk4ndkfRGu4I3/ubfw4P/8BzaFHB6t3BPETP7J4HNCOLnn38eq6ureOSRR+yyErGcFhcXsby83BEdy7KmDKiyjpQHTtn3mZczSUAPk5+2osV6k3M4ypotLSGGRCKxLf8yt1OsSiYY9m9rAhHylTbIcfZRakuSl2HxOm2+P44I5uxrQlK5XM5aitLfkte62Wxav64QsOxIxb5hSaUqpC9tEBm81WpZv7O0qVKpYGNjwwZ4SXskx7SODWBrWPzb0WjU5jDnJWr8veMALpbgxacvQV31et3K07lcDrlcrkPuZp+y9OPAwADe8Y534Fu/9Vut3z2ZTGJ9fR2lUsl+l/S2lh4eHtchmbhOfPg1vALgx97/o1h52OBt7zqHf3Pwz7teu9FuYfAlsydIGbjHiBmA3RJPoogrlQouXLhgpe1jx46hv78fc3NziMfjyGQyNvpVB4bJfyFjCcrJ5XI4duwYDh8+jOHh4Q5/pETW8tIoLTEyGWirmeuVKGrxCQOd65x1xDD7fLX8y8dYMmewFexa6iOIRCJ2AwngOhlxnWw5S//pZCYA7HItsao5WE4scXndarWsZd3f378tW5n0ifjR5XlUKpUOf620V9KwcvpVvm9pi7SdLVgO5tOTH5bDZTIi/vRqtWqJem1tza4Z51StvGZ7bGwMb3/72/FN3/RNdlI1ODiIQqFgVQIJAvQWs4fH7pH57WeQ+W3g6v99AE8N/Q184wcH8be//QvOc1/MT2DsM7O3PaPXbnHPEXOz2cT6+jqSyWTHjkQLCwvY2NjA8vIyHnnkEZw8eRKXLl1CrVbD1NQUUqkU1tbWOpbgANhmwcryFQnSOXz4MCYnJ5HJZDp8kixJSjkCjqTW/kg5l63bIAispCr+ZSEtSSepLT4dkMZSONC5nIst27ABnsmWVQD5jJd9sQwuhCuyMPvaeX9sbgPXJWuhZcLT29uLvr4+pNNpu4GDEKZYyrL8K5VKYWVlxRKySMlyTTwetztRyY5VbBWzu0D6hvtY7p2fI9+7uFYkqEsIWNJsyiRSxzsAm8lDjh8/jm/5lm/B2bNnrUw/ODiIIAhw+fJlm81OrHMPD4/Xj+b8AjC/gGM/BjyDaMhZK3e0TTvhniNmAHYpj1jNMniVy2W8+OKLWFpawsMPP2wzWs3PzyOdTiObzeLatWs2A5VAS7yVSgWXL1+2++IWi0VMTU1hZGTE+iM5aputSIa2zrk+JlUpJxqNWj8sW5E6SYm2vMVy5KjtIAg6kqfIddpvqqOOgevJT4TEefMFzqDFaUW1RcrSOFu7ektOWVol0rbI30NDQ1heXka5XO7oK04cIlHWrh3IjDE2K1k8HrfLtmQCJH9C+tI2rkvuXerizyTYTSLExZ9cqVSspM7fEalDNg05efIknnrqKZw8eRLFYhGtVgsjIyMIggDnz59HLpfb5n7R3yMPD4/9iXuSmNvtzaQhso6W/X2VSgVXr15FPp/HyZMncfbsWfT19eHSpUsAgEQiYZM7SJCTtmjFb7i2toZqtYpcLofjx4/j2LFjGBkZsZHHQjy8tzFbWECnJaotRqBzowzJesUEwnIv+5bFDysIixbWYOtPyKLdbtt2sBUpn/PmG1KX/LE1zxYlS/wyCUokErYOsWxFzk+n07bOdDqNsbExLC0t2eVsgmazafNJy3rmIAisu0GscInUl8lOJpNBIpGw9ySbcMiSrEQi0eGi4BgEscaBzej5er1uM6VFo1Hk83msrq6iVCp1lKHXthtjkEqlcPz4cbz97W/HoUOHUCqV0Gw2MTg4iGKxiNnZWeRyOduHfK1e2uXh4bE/cU8SMwArG0oaR/a3BkGAjY0NnDt3DvPz81baXlxcxJUrVzA6Ompl0PX1dbtOlElNiK9QKODSpUs2peWRI0cwPT2NgYEBO6hz9LIQDgdcsZwr9bA1rWVwkT4lR7UOONPLeZjwNTnzUiJtLQuRcjka7CsW61uCqiTjlkxu9FIwvl/JbibveWmWqAKytjuRSGB4eBgTExM2EQeTHEdgy/XRaNQG0knCFQkoE/eFWLoSEV+pVKz6Ie+F8GWpkviRZVIkEzEhYAlek0kG96FEzUsdAwMDePDBB3H27FkcOnTI9m8ikcDq6iquXbuGYrFor9dBe365lIfH/YF7lphbrRYWFxcxMjJiJW2RH4WoKpUKrly5glwuh/n5eTz00EN405vehCtXrmBlZcUu41lYWOiwdARCXvV6HQsLCygUCjav8aFDhzA+Po50Om0JSiRLHT2rrSb+z9azjvyVjFi83leTul5/CyDUstLkrBOcCPGw1cxqhPjChayTyaS1JDlYTYLUuD+D4PoyMVYUpN9KpRIymYxtRzKZxOjoKNbW1uwa6ng8DgCWaIX4AHSkZ11eXu7IuiXLtuSehVir1ar1aRcKBevTZdcBT4p0whhJHKLbwn1sjEEmk8H4+DhOnTqFmZkZjI+P28lRvV7H4uIiVldXO3Kj8/MGYKV3Dw+P/Y97lpgB2BSHY2NjNmkGB1YBm4NbPp/HCy+8gOXlZTz66KOYnJxEOp3G0tKStUgXFhY6CIivl2PFYhGXLl2yuy+dOHECk5OTGBgYsIQlFpUERLEkzFaugAdfTdJiPYtFyAO/9jNruZytVTnO+yNzvm4hH9cEgKOoue3iv+Wc0FyHtFMHW/GkhdssOb3lPEkscuTIEdTrdczPz1tZHbgu+7NcL8ue2K/NSorO0tVqtdDX14dIJIJcLmdTuopSIdHfMlmIx+M2cYqQsVj+vBe13GM8Hkc6ncaRI0cwMzODqakpuwSv0WjYbGBskQv4+yJqgJeyPTzuD9zTxNxut7G0tISHHnoIwGauZiEdHpRFSp2dncXKygqOHTuGN7zhDZiZmcG1a9cAbEq1y8vLHVanDugSeXN+ft76FY8ePWqtIPE9cz5s3oaRLUUBL3PSVrSQiPg7hRzEl8pE6/JvawiJiLUHwBKny8plyVvaKlK2pO7keqU8KYd3fQKu59vmiQX7dIvFIlKplK0vFotheHgYJ06cQDKZtGvYe3p6rG9WMngBwNzcnM39LdnIeFIgubI5rkD6VqLC5Vw51t/fb10aMtkSv792Lxhj7NK3SCSCoaEhTE1N4fDhw8hms1aqlwhuLoMVC2mbTrHqg788PO4P3NPEDABra2vI5XJ47LHHUKlUcO3atW3LidgCLBaLePnll7G8vIyTJ0/i+PHjmJycxODgIL72ta9hYWHB7nzEBKKDqorFIl577TW77vnIkSM4fPgwBgYGbCCSDKyysQFbz9IuoNOX6Bp8OeGG+EklQEzaI9dpn7SujwmU6+d+4uAuKUvqBjYt00wm0xEFLsQu0BYgT5S05C7HJLCL2xiNRjE0NIR0Oo18Po/Lly93+H3lnoHrfnAJCARg83pLtLT0j0jrEmwmxM/ukEgkgtXVVRugxlIzB+8JJGK/v78f4+PjmJqawtDQEDKZjF3vLXW4YgD4uyaTJYnS52s8PDz2N+55Ym42m3juuecwMTGBM2fOoFgsIpfLdZCqtn7r9TquXbuGXC6Hubk5nDlzBqdOncKxY8fw7LPP4sUXX0ShUOi4hgdNIaxarYalpSUUCgXMz89jaWnJbmzf399vs1TJumfef1hn2OIALE3QOupZiFIClbgsuZ7JRa6VukWqZeLWVrr0LW+gkEgkkEgkbD5qiZZmCVzuRWfP4vXIvIZY+235PweYiWUvWyZKe9kql8AviZhmf7nIy9Vq1VrR8nm73UY6nbabbcg9GWM61iDr75H0oaQSlZ22ZmZmMDExgUwm07GLFU/OZGLE6UIFoozIunDpD1dwnoeHx/7DPU/MwObmFl/4whfwAz/wA6hWqzh37pxdcsKSKVu+xhi709Tq6ioWFhbw2GOP4du+7dvwwAMP4Mtf/rJNUMKWofbtyvrpq1ev2iCzkydPYnp6GqOjo3ZwFutPfMZs0QqYsF2+Z+1/lv9iXQmZANctYi0tC6HLOa5gI17DK5DoYUnswdm0pC2c81pL6hxQJcTE/mGdzUwv5ZLIZkm7KulWeavP3t5em2RErue11PwdEP+6TDBisZi1nAF0+LslbiAej9sEImJF9/T0WF/y+Pg4Dh48iNHRUSuviytDT8Bcy/SkXyTQS0/cPDF7eNwf2BfEDACvvfYavva1r+Hpp59GvV7Hc8891xGhzSTH/1utFlZXV/Hss89idnYWjz76KB599FF893d/Ny5cuICvfvWruHLlirUcXYOj1CPpF1dWVjAxMYHjx49jenoaQ0NDHWufJSpYLFgh3bAgMB21La850EusW7YuWTEQS43rEp8pkwT7OnWbJEALuB5oxRtcAOiQtMOW9+j11TpIi+uV1xIEJfm0x8bGbIa2YrGIQqFgN44QEpZobGlrvV63JC3WrqTyDILArnWWvujr67PKBy+V2tjYsJa0BKkNDQ1ZPzKAjtgCfna6T1iREdeH9KEknYlEIjYHuYeHx/7HviHmVquFP/uzP8OJEyfwxBNPYHFxEZcvX+4gLy3tyv8gCGzkby6Xw4ULF/DGN74Rp06dwvj4OF544QW8+uqrWFlZ6dhlisuR1xJEls/nsb6+joWFBRw9ehSTk5PIZrNIp9MdwWGuDTakLPbzyufaepZ754kGcN336YoC59euiQZb4lyHyLH5fL6DmPW5cj1PBFwkzfW7/M7sk2efrMjbiUQC/f39aLfb1n8rm5HIBhVCqLLHM9ct8rNsqpHJZJDJZCwBJpNJu8yKJyvDw8PWry6R4rwrGPeLnmC5/Phy/1yH3KsoERJI6OHhsf9h9kJAiTHmljXiyJEj+NjHPoZyuYxPf/rTeO2116z0yFahDujSWZb6+vpw5MgRPP744zhx4gQWFhZw7tw5XLx4Eaurq9baZHLRZYmP9MCBAzh8+LDd71mWVwHX18Ny7m2XhaxJmc/R/lp9HYODi/g1gy1WTYpCQC4rVyx1zormWuLDEyRNzNx2njTo/OZyDfvV5bgQmUwQRHbmDG3ybDhQjyVk4HrEukSjS3l83xwZz1ayS6ZmcNnSp5zrnOMIWPn52Mc+9lwQBI9v69Q9hKwZCt5s3nG3m+Hhsefxp8G/d/6e943FLLh27Rq+8IUv4Ed+5EeQy+Wwvr6O1dXVjsGSrRS9TEl8moVCAS+//DIWFhZw/PhxPPbYY3jnO9+J2dlZPPfcc5ibm7PbRGp/Kg/K1WoVc3Nz1o89MzODQ4cOYWxsrEMm5eVVHIDFAzq3UywrToHpOo/vWcupYbIqv9d9Bly3ynUbxeoTS1ETKZ+jFQxXnfoeObCNyxLLVY41m82OrGzcD0zAIovLmmwharG22VLlTTJ4/bL44jUh6wmvWNjSVnY38P1IWTzx8/DwuL+w74i5Xq/jM5/5DIaHh/Gt3/qtWF1dxRe/+EUrQ2trz0UMwPV82bJl5IULF/Dggw/izJkzeO9734u5uTl8+ctfxtzcnF3jyoFTbNW2Wi2USiWcP38e165dw9TUlE04IeufZX2yWHgSdKatQ7Y0uR7XAK4jfTVBa/+1S0Hg+rXUzq+ZTFutFmq1mrU+uY1Sp0yAXBayy7+ufeZivcrGF7wxhZ4oSGS8yOCcrEWIUog1n89bspW6RNKWXaOEsMW/LkuyuC8EYgVLUJxMxHjyxfXxd0j3hYeHx/2BfUfMAJDP5/GpT30Kx44dw7ve9S7UajU888wzyOfzodaM/Hf5eRuNBhYXF5HL5XD58mU88sgjOH78ON73vvdhdnYWzz77LK5evYpSqbTND8iDrTEGxWKxg6CPHj2KgwcP4sCBA8hms9aKkwxSLMNz21wWNbdZ32c34tbSNpcjfy5ZmpcjaZlXAsKazab14+r2ujbZ0O0V4gOubwoh7ZWoaU1kEtjFxCf1ynpkAB3kLO8lypoDsGTTCknbKYFYbNG6VAGeEMhxlsSF3LmN0u9ahQmbfHl4eOw/7EtiBjaXUH3yk5/Ehz/8Ybz97W9HLpez65O1fL1TgJScU6lU8Nprr+HatWs4d+4cHnnkEZw4cQLvfe97cfXqVXzlK1/BlStXLEEzaTHxNZtNbGxsoFQq4cqVK5iYmLAW9MTEhN31SJbzsHzKJBRm1eoIbH0vrmv4tcsvLGQi0O4AuS+eGLAsKxtM8PphXb8cl7Zp/zFPFuS1ECjLyry8SiB1C1mKFStR5hJxHYlEUK1WUS6Xkc/nkc/nbXIS7eeWdnO6UpaoWd1gOZ6XhLmeiX7tCpzz8PDYv9i3xNxoNHDu3Dl84hOfwPd///fj27/921GtVvH1r3/d5joWhPkFXdZzu72Z13l2dhaLi4v42te+hje+8Y2YmZnBU089hbm5OfzFX/wFZmdnUalUOiRKl69WlvksLi5ifHzcJqcQCzqRSFg/KEdGy39t2bpIWUvArkGfz+H3cu+6X8LkcJcVzJYu94eQpCDM+mZrXUfZS3ukTeILrlQqHUu32N/MyT041zUnAeF9mHkipN0DTMi8dab2OYdF8nN/unz//JknaA+P+wP7lpiBzUH8mWeeQSaTwfd///fjne98J4rFIi5fvmwTfQhcflBg+yDKBF0qlXDx4kXMz89jYmICjz32GE6cOIGnn34ai4uLeP7553Hx4kUrf/Igy5ag+DaLxSLm5uYwNDSEo0ePYmJiwm6SkU6nLZEJSYuvk60w3VbtVwawzR/q8lPrbFe6HJfioD8TiM9Zcj7z5EH744XY9H1IuZqQOaOYnMd9w8vH+PlyZD7773kCI33N3xEmXk6wwltB6gA2vpahSZfvW0/iPDF7eNw/2NfEDAC1Wg2f+9znMDExgXe961345m/+Znz2s5/F/Px8xxpiYLu8242k2WIsl8u4ePGiXVIla6Df8573YHFxEV/96ldx/vx5FAqFbYO3QEhGtjhcXV1FNpvF9PS0taCHh4eRyWSQSqVsVLGkbeQlQuzTljrCoqDlHlg+ltc6raaU47L+5R50uQLZKYslZTlf6hSfMSfm0H5wfj7SRq0ISF9wG/RzZhmcLV8mf75Wl8OpNLXiIv2slQX2G/PkQO7LFVnvWgLn4eGxv7HviRkAyuUyfud3fgfxeBzf8R3fgSAI8Md//MdYXFwEgA7rSaAtHj6uIecWi0VcvHgRc3NzeOaZZ/DQQw/h9OnTeMc73oHHH38cL730El555RXkcjlUKpVt66A5LaX4NdfW1vCNb3wD4+PjmJiYwPj4OEZHR+3mCELQYt0xgXCqTClfrz2W9ks6TSaCsHvXxMyWXjffPa/NdUVIy/Wa1LQvlgma65e14EyaHLjGcraW8KXNMjFwydFacg4LwOMyOZ6BX7O7Qaso3Afc365kMB4eHvsPOxKzMWYawK8BGAcQAPh4EAQ/b4z5aQA/AmB569S/HwTBH25d81MAfghAC8DfCYLgM7eh7a8L+Xwen/70pzE6OorHH38cy8vLeOaZZ5DL5ULXjLoCp7S8yJ/L4Foul3H58mUsLS3hq1/9Kh566CGcOXMGTz75JB5++GG88soreOmll7C2ttbhh5YyeVAXa1gCxQYHBzEyMmJJemBgAP39/UgkEkgmkx1Lc2Qg1xYfk7Uc01HBLjJkuVVb+67P5BiXwT7XdntzG00haC2puyxIfi9kxVK+RGvLOTojmb5nvfbYpYrwa6lTgrz0BI6/I2Hr27UszWTMlrVuz81iv/yWPTz2O3bM/GWMmQAwEQTBV4wxfQCeA/BeAO8HUAyC4F+o808D+CSAJwBMAvhTACeCIAhdG2NuYeavbjDGYGpqCh/60Idw5MgR/NEf/RG++MUvYmNjoyPIB+ienENLmK56+Px4PI6BgQEcP34cjz76KMbHx9FqtXDp0iU8//zzWFxc7NjvlwnORYCSjjKdTluSHh4etr7ovr4+u10gL1Niogzzt/J2iVquZWtPW28uC5T7UsvoLoLibFhyn2xZuq7TEyo9qeH+5M/5vnVbXW3j+3Zdw1a+doPoiYaWtcPuka1k+fyjH/3oDWf+uhO/ZcBn/vLw2C1uOPNXEATzAOa3XheMMS8DmOpyydMAfjMIghqA14wx57H5w/7zG2r5LUQQBLh27Rr+3b/7d/jhH/5hPPXUU8jn83jhhRdQqVQ6LGcX6bosaFcd+n+1WsXi4iLW1tbw0ksvYWZmBo899hiOHTuGM2fO2OVXs7OzWF9f79gXWE8A2IouFotYXV3FhQsX7EYKYlEPDg4inU4jm80imUzayG7e7lHApMmWNS/REv81S64uK1/3g6vv5HNNsFKnnM8Wr5a7eaLAEwruK36OLv+6a9LlUkHYKg67D12vTmXKn0sZnF9bT3a07H0rsJ9+yx4e+xmvy8dsjDkC4A0AvgjgrQA+Yoz5PgDPAvixIAjWsflDf4YuuwrHj98Y80EAH7yxZt842u02vvGNb+Dnf/7n8ZGPfATvfve7UavV8Morr4SuUxXozzRBAG7SADr9qxsbG3jllVcwOTmJhx56CDMzM/jO7/xOO0m4ePEilpaWUCwWbWRxWLskAYcEjPX29lprWoi6v78f/f39yGazlgxkI4h0Om2jpeUzvQ43CAK7lprlYxfZaIvTZc3yZ5y+UxMbW7sSzBVGpDrKGuiUwtm3rK1TbnfYGnAmUNf13Ac6qEvq1y4CFyFLOa5MbbcSt/K3vFWe/T0nkLrl7fXwuJ+wa2I2xmQA/C6AjwZBkDfG/AKA/wWbvqr/BcDPAvjB3ZYXBMHHAXx8q+w7GnIaBAHm5ubwiU98Aj/+4z+O9773vfit3/otXLhwwWbacg28/N4lc7rO589ZPt3Y2EChUMBrr72G0dFRnDhxAsePH8eb3vQmvOlNb8KFCxdw4cIFa0XzNpG6LfJaLOlqtYqNjQ0sLCwgGo1a//PIyAj6+vpQr9exsbGBWCyGwcFBTE1N2S0ORQZPJBIdxJxIJGzbeZKh04YC27fGDLP4wiK8tdXqes31uEhUv2ZCdBGwfK59xS4rOuwe5L1El2vlhdvrmjTofgzzj98sbvVveat99vecNUM+hNzD4yawK2I2xkSx+UP+9SAI/gMABEGwSJ//WwB/sPV2DsA0XX5w69ieQhAE+PrXv46f+7mfwwc+8AH8pb/0l1CtVnHt2jVUKhV7Dg+WMrByIgn5TFuKen2urluur9VquHbtml1WdfjwYRw7dgwnT560u1pdunTJLseqVCodO1HpcoHr0rRI0dVqFblcDqurq0gkEhgdHUV/fz/q9TqKxSK+/vWvo91uY3JyEhMTE5aY+/v7kUqlrHUNXCeeIAg6cntzIJXLAtZgC1L3Ffc196tY0buRdl0uBVEEXJMJfu1SAfR9dHMz8H2Ela8tbY7I5z50TQ5uBvvxt+zhsd+wm+AvA+BXAawFQfBROj6x5bOCMebvAXhzEATfY4w5A+A3cD1g5LMAjgd7IPgrpG4cOnQI3/d934dkMonf//3fx5UrV+waZ1cgVpikLeWFDewMJiO2tiKRCOLxOMbGxnDkyBE8/PDDmJyctBtqnD9/HhcuXMD6+vq2iG4ty7omClL+4OAgBgYGMDg4iHg8jmq1ikqlYl9Ho1GMjY3ZXbAGBgaQTCY7Iqg1UfESI152xG3T1qcmXm0966huTcxhpM/PR9cv/aE/18TZTU7m83V7XGqKS3KXtmoid01U5LwPf/jDNxP8ddt/y4AP/vLw2C1uZtvHtwL4XgAvGGPObR37+wD+pjHmMWzKX5cAfAgAgiB40Rjz2wBeAtAE8KM7/ZDvJoIgwOXLl/GJT3wCf/2v/3WcPn0apVIJ6+vrNluX3sbQJY/q1/y5Hqg1ofHxVquFcrmM2dlZLCws4OWXX8b4+DgeeughPPDAAzh48CDe8pa34MKFC/j617+OpaUl5PN5GzCmrS4By6XVahVLS0tYW1tDLBZDKpWy0duSzlK2ThwYGMDAwAAmJiYwMjKCbDaLvr6+jshvzoEt1rT8cWpNIWu5Vz2Z0dIvkzWTpSZWl8QdRrj8Xy9nEuhJQpi1yp/pe+F26fXOMgHTx6U8nW+bN8S4Sezr37KHx37BjhbzHWnEXbSYGUNDQ3jrW9+KY8eO4Qtf+ALm5+c7gp40cYRZxi4SF3B/70KtAAC7PKqvrw/Hjx/H6dOncfDgQfT392NpaQmvvPIKLl26hGvXriGfz3csddLkIOUySehoYL0+V+pPJBIYHh7G8PCwlcPFL51Kpew6ap3+UkMn8GDy7gbudxepSp0uOVnLw/qasL7Xky2+RhO3i/h1fwukX+UzvWabiZmv/d7v/d4btpjvFLzF7OGxO9yMxXzfYG1tDZ///OeRSCRw6NAh65uVwb5b5iWX9Rc2uGuCcBEDfy4JRsrlMtbW1vD888/j4MGDOHLkCI4ePYonn3wSTzzxBObm5nDp0iWcP38ey8vL25aAudrLEdbSLk5fyRJ1qVRCLpfD7OwskskkUqkUhoaGMDw8jMHBQQwODnaQdCwWQywW67ACgy1fbzQa7bDuZSKhpW+dHQ2AVTC0K0C7FrSk7SJZVywAk6RswCH3IM9PytXR4GzVy7maaF0Wu+u70Gq1UK/XUavVUCwWsbKysu174uHhsf/gLWYHUqkUZmZmMD4+jtXVVaysrNiAK+1z1hZwmGW2G2IOk1pdJCODfH9/Pw4cOICjR4/izJkzGBkZQRAENpXn7OwsVlZWsLGxYfN0az8n1+GSmBlMiO122/qb0+m0TW4iPun+/n6b21vutdVqIRqNYnh4GMlkEtFotGP3KFe/uVQKrQCwpaxfc59piVv7tbUVzNm4+P6lXJ6waauXz5NIbekDiaBvNBo2up0TzDQaDTsx3NjYwMrKCtbX13Hu3DlvMXt47BOEWcyemEPQ09OD4eFhHDp0CJVKpcOPy+QGXB/MdZS2Cy7ikWvkvcvaFt8tg8kmFouhv78fExMTOHnyJA4dOoSRkRH09PTg6tWruHz5Mi5duoTFxUUUi8WO4DbtD3URFdft8t/Kf/GFRqNRJJNJZDIZS8KyA1NPTw9SqRSmp6dtIhTxc/f29lqC01nLBFrG1q4D3Wb9mZQfFjmvr+Pdqmq1mi1L9st2JT+RfmTirdfrtox6vY5yuYxqtYpqtWo/k/sDNjdgKZfLqNVq1uXwzDPPeGL28Ngn8MR8AzDGYGRkBFNTU+jp6cHq6qoNjNKWpyYvV9S1JmE+xmtfdzpXjrsscgkU6uvrw8GDBzE9PY0TJ05gYmICzWYT5XIZr732Gl577TUsLi7aIDed9UzXqeVgjpDm810bUMgGG5lMBplMxiZAkY0sJABN/NhCzuKHZX+s9BUvt4rFYh1WN5O7tEkHTnECE22Fi7QusQW1Wg35fB65XM4mfYlGo0ilUla2Z7cDL1MTEq7X69YdwWQsSgzvhmWM2SbXy45cly9f9sTs4bFP4In5JhCLxXDixAnEYjG7M5QMwC6ZNczq7SZxdyNwTZbaSnU9QyHpaDSKgYEBjIyM4Pjx4zh8+LBNNLK6uoorV67g8uXLuHr1KtbW1jpIGuhc3qPvweWz5Xa52muMsfJ3JBJBq9WyRBqPxy05y65ZnPNb/L3RaBTAdXKV60VVkPvm+tk/zAqHWLe8HputXflMLFpRGXS8AZch14l1zEFujUajo26XMuHyRcuxxcVFT8weHvsEPvjrJlCv1/Hqq6/aSORYLIZisWgtm7CIYhfByn+XfKr9m0x+8l4TC5evyxYyWFxcxNLSEl599VXEYjEcOHAAExMTOHbsGGZmZnD69Gm0Wi2srKzg0qVLuHr1qvVLi8XnWs8tcJG1qz1CxLLtI+BO1KFTgsprsZQBWOIVwmWLWicvkXrkP5Nis9m0yVjEUuZrXUuvdP/rftH9w89Vl+dKFcr3zvdzC5ZLeXh43APwFvPrgDEGyWQSp0+fRrvdthYmb/YQNkC7SFm/ljr0+zCLOMxi5TpdUrjIvplMBtlsFtPT0zh69CgmJiYwNjYGYwzW19exuLiIy5cv22VY4pvWy8dcJCVt1EuXXPeq29ytL+Q9S+bsN+bPw3zMrr6VsnV2N75HvdGHLkNPrLSLgycO3E4ui8/hnbZkYnLp0iVvMXt47BN4i/kWIAgClMtlfO1rX8OBAwcwMDCAZrOJfD6PWq3mzHYVJkPza5eFFWZVa0LWVjTQmWCDrxOIJSgRv3Nzc/jyl79sd6gSa3p8fBwzMzOIRqNYWVnBysoKrl69iqWlJWxsbNj7DoJgWx5vHVilrc2wCYiW9TVhcvlMwK1Wa1syEpeqoMuVumT9tg6yE1LU8nVY+/WzlHL5XFdmL/4v1j8nbonH40gmk/Dw8Nj/8MR8A6hWq5ibm0Oj0cCJEycwOjpqd4OqVqt2TS6vBw7zIWvCCVMwwixtvqabL9rlx2bJu91uY3V1FWtra7h06RLOnTuHbDaLAwcOYHx8HIcOHbKWdTQaxerqKpaXl7G4uIiFhQWsra2hVCrZCYrk8u7mh+72GfeNJjbX+WGys5Cqq8/CJjQuS15b0GHtdvW9wCWxuz5j2T4WiyEej6Ovrw+xWGxbuzw8PPYfPDHfIBqNBubm5tBsNvHkk0/i5MmTWF1dxdLSElZXV601KQFF2lpyWVcuhPl0uQzxPbJUze+ZDLTFKp/z+aIClEolzM/Po6enxyYUGR8fx+joKKampjA5OYmjR48iHo+jUqlgeXkZS0tLWFhYwPLyMsrlMkqlkvUr68QlrrXZ3Gb2v/K5LqvbJTNrVaFbnm2XBczkyqTN57KsrtvfTR2IRqPbyuQI9Gg0img0aiPZgyDAK6+80v3L4uHhsS/gifkmsbi4iD/8wz/EzMwMnnrqKbz1rW+1ea7n5+exsLBg16LKdpLagnP5kcPkb/1eXxtm/bmIJSyTGU8igOsZqPL5PJaWlqx/OpFIYGxsDKOjo5iYmMDk5CQmJyfR29uLZrOJlZUVrK2tYWFhAaurqygWi9jY2LDJM4TYeOKirVjX/busXQ1NxGFSuu5DV3+F1aPTmeq69DU8gZIJlSZllq37+vqQSCSwsLCAK1euYGNjw3mvHh4e+ws++OsWwZjNwLCzZ8/irW99KzKZDBqNBkqlEpaXl3Ht2jWsrKwgl8uhWq12ZHnSPlFXcJG2Kl3PrZtfWX8u57jqcV0TVp5Yi4lEwiY5GR0dxcjICCYnJzE0NIR4PI50Oo1CoYBms2mzqW1sbGBtbQ35fB7lctnmJddLklwBW5poXTJ+2GYWfO9hMrkraK3dbm8jV7bs5dwwNUIIWMDBXb29vdsIeXl5GbOzs8jn8zwB8MFfHh77BD746zYj2AoM+9KXvoTLly/j4MGDGB8ft39Hjx5FuVzGysoKlpaWMDc317EmmnddYrjIVJMUfyb/XbKqq1wX0bmOh1mO0m5ZPia5tKPRKOLxOFKplN1icmRkBGNjY+jr68PRo0ctqRUKBayvryOXy2Ftbc1a1rlczlrXsi7YGNMRYOfaKlLgksr1vYX1iSZsnf9apy8N241KXvM6aiFoKUfWa8tkJp/P4+WXX8bly5ed+257eHjsb3iL+Taht7cXQ0NDOHjwIFKpFOLxOEZGRjAxMWGja/P5vF0zvLq6ilKpZK1pAE7fNLC75T9ynt7D2CW3urKUaXST1rWvVZchJCR5sSVj1tDQkN0EY3R0FIlEAplMxvpfJXK8XC4jl8tZy1rWVxeLRbRaLZvEQ0fFc3u5bRwQptvNpKzPcfW9lse7+a151y3JhpZIJDA4OIiZmRk0Gg0sLCzg3Llz2NjYCHM1eIvZw2OfwGf+ukuIRCIYHh5Gf3+/tY54f+OxsTFEIhHkcjmsrq7i8uXLWFpasiQtSUKA7UksXM/OZflKoBVbwPJZGPg8bYnLfUkyDv2Za8Lg8uPK8Xg8btNyykYYQ0ND6O/vt/+j0Sj6+vrsPtHlctmmuSwWiyiVSiiVSqhUKh25wIHNzG1C9kLcPT09HRnOJC+33Ju0t16vdxx3Rdqzn1xec7/pKH3JYtbf34/JyUnEYjEsLS3hxRdfxNzcXEcdDnhi9vDYJ/DEfBchhJzJZBCPxwFc90mLxDs9PW39sc1mE9euXcP8/DyWlpasX5rTgOqEHkLAAibCnZ7xbjaF4Lq6ncNkz2uIu1njriApkXslNacEm8m2kgMDA+jr60M6nUZ/f7/dGEPW/rbbbbvtZaVSQb1eR7VaRaVSsbI4gI7Jj9QrxCj/ZWIj/yVbmPSbpDHV1rVkJ5ONPRKJBLLZLAYGBjA6OoparYbFxUV87nOfw6VLlyyB7wBPzB4e+wTex3wX0W63Ua/Xkcvl0NPTg3Q6jWw2i0qlglwuh8uXL+Oll15CNpvFxMQExsfHMTk5iQceeMBu/Xf16lXrlxZr0RU85rKCw3zMLjJ2BXi5SFj7bF1yuE4rqS12XQ/QmZRF1kMHQYBCoWDL500tYrEYent7kUqlOqzueDxuJ0ISfJZOpzE0NIR2u23XBMdiMRstL7m6Jec1uwEqlYq1eqVdHLUu1rg8byZyaefw8DBOnTqFeDyO2dlZ/Mf/+B/x2c9+tsMq9/Dw8PDEfAchRLqxsYFyuWx9jLLZQaFQwMLCAuLxuLWsDh8+jMnJSTzyyCN44oknbPat+fl5rKys2KQeOk1mN5lbvxbooKUwItUBV5qkdRn6M1d0NB8Payffm1iX1WrVBp1J26QssZ7lT7ZoTCQSMOZ6JLlI6bJVJW+aEY/HEY1G7Q5WUpZs+dhut60KIu/lXDlHJmLxeBzr6+v4V//qX+HZZ59FqVSylruHh4eHwBPzXYD4LiXKuLe315JbvV7vIOnXXnsNyWQSY2NjmJiYwPT0NN7whjfg7NmzyOfzWFhYwKVLl7C8vIxisbhtW0rguqQcFsAkYMs3rN2aVF2BYK7PXCTN/vCwAKtu77lOuZ79s2IJa+iJBS9b4vecOIRlafkvBA3ASu7yJ4Fsg4ODaLVayOfzOH/+PF566SWUy2Vn/3p4eHgAnpjvKliiFetMjotVKGuhc7kcLl68iGw2i76+PkxOTuLw4cOYmprCgw8+iGq1iqtXr+LatWt2n2XxrWrJG3AvM3LJ1fo4v+9mlYcFmAmBumT0MDk+TP521c1lulJxuoLhRDaXumWJErdF73QlFrlY0WIdix9cCPv8+fP4yle+gnw+vy2fuIeHh4cLnpj3AIJgc+9fsaAjkQgGBgbQ29uLarVqI4wlgGl5eRlzc3M4d+4choaGcODAAUxNTeHw4cM4efIkKpUKNjY2MDs7iytXriCXy9kob9ce0mH+ZYaLpJn8mGyZ+PT1XIYul32yTNS7DU7b7b24ypHrXdstyrlsRbOknUgkrFydTqfRarVw7do1XLlyBUtLSztFWXt4eHh0wEdl71GIX1OClCQrloD3IZYEFf39/RgZGbF+6cHBQcTjcczPz+PatWu4evUqlpeXUSgUrJQuxOratlG/d5FdmOWr91t2yeau69hKdVn0TJyunZu0pe6ymAU6AYkc4yAzfs9kLH5pkat7e3tRKBRw8eJFLCws2BzhtwE+KtvDY5/AR2XfYxALulQqAYANXOL1t7K0p9lsolarIZ/PY35+Hq+88grS6bT1S8/MzODs2bN47LHHUKlUMDc3h9nZWSwvLyOXy9lEHS5rGui+fMrl93URIVuzDF02n9stOC0s+Gw3QWlcnv6cLWL5z75jsYzFOs7lcrhy5Ypdf+7h4eFxs/DEfI9AiFqyZrXbbZvxiv3Gska3XC5jbW0Nr732Gl544QX09/fbrRunpqZw5swZ5PN5a0kvLCxYv7Ss7WUrWm80AbjJWMvOGi75WH+m/eDa36394y6/dpilrHesYuuYrWQJ7pK0opL0JJPJIBKJ4OLFi3juueewurqKQqHwup6lh4eHRzd4Yr7HUC6XUS6XO5bw8DpaWX8rQUzNZhPlctluiBCLxTA6Omr3WD58+DAeeOABNJvNDr/02tqaTX3ZaDS27aS0E/nKOZosgU5y7Ba9HWY5Sxmu9yyba7LmPyZiiboWqzgajaK/vx99fX0YGRmxS6nK5TK++tWv4vz583pjCQ8PD49bBk/M9yg4WIzX6UpmKvmMCarZbNrsV3Nzc3jllVfQ19eHiYkJHDp0CJOTkzh79iyeeOIJLC4uYm5uzmYgk5SXkiWL5e4wknb5jAUuuVnO0bmruSy+Vp/vKk8Im33yvKMTJygRq3hoaAiHDx+2RPzCCy+gXC7b1J97IS7Dw8Nj/8IHf+0zyH6+sVjMBnUFQWDTVLKVx8FMkrtZ9laemZnB5OQkIpEIarUa5ubmcPnyZbu3cqVSsYlN9FaVTNp6F6ZuQWDd7klHg/P1elmTtox5SZOQsfiKR0dHMTU1BQAYGhrCwsICXnrpJSwvL+OFF17o2Plrj8AHf3l47BP44K/7BJIjulKp2MQl7XbbrrFNJpNotVqoVqt2rbTI37VaDWtra7h06RJeeOEFDA8P49ChQ9Y3/eijj2J1dRXz8/OYm5vDlStXsLKyEpoiFHCn69SWvJa4BS4LuZs0zfK0TDoikQgSiQTi8TgGBwcxODiIqakpHDx4EIlEAteuXUOhUMDnP/95OwHJ5XLeKvbw8Lhr2CsW8zKAEoCVu9yUkT3QBsC3Q8O34zoOB0Ewepfb0BXGmAKAV+52O7A3nhewN9qxF9oA+HZoOH/Pe4KYAcAY8+zdluj2Qht8O3w77nXslX7y7dhbbfDt2D0iO5/i4eHh4eHhcafgidnDw8PDw2MPYS8R88fvdgOwN9oA+HZo+HbcW9gr/eTbcR17oQ2Ab8eusGd8zB4eHh4eHh57y2L28PDw8PC473HXidkY825jzCvGmPPGmJ+8w3VfMsa8YIw5Z4x5duvYkDHmT4wxr279H7wN9f6yMWbJGPM1Ouas12ziX271z/PGmLO3uR0/bYyZ2+qTc8aYp+izn9pqxyvGmHfdojZMG2M+Z4x5yRjzojHm724dv6P90aUdd7Q/7nXcrd+z/y3f/d/yVrl3/fe8L37LvFn8nf4D0APgAoAZADEAXwVw+g7WfwnAiDr2zwH85NbrnwTwz25Dvd8C4CyAr+1UL4CnAHwagAHwJIAv3uZ2/DSA/8Fx7umt5xMHcHTrufXcgjZMADi79boPwDe26rqj/dGlHXe0P+7lv7v5e/a/5bv/W94q+67/nvfDb/luW8xPADgfBMHFIAjqAH4TwNN3uU1PA/jVrde/CuC9t7qCIAg+D2Btl/U+DeDXgk08A2DAGDNxG9sRhqcB/GYQBLUgCF4DcB6bz+9m2zAfBMFXtl4XALwMYAp3uD+6tCMMt6U/7nHstd+z/y27cdu+u3vh97wffst3m5inAFyh91fRvQNvNQIAf2yMec4Y88GtY+NBEMxvvV4AMH6H2hJW793oo49syUq/TPLfbW+HMeYIgDcA+CLuYn+odgB3qT/uQdzNPvG/ZTfu2nd3L/ye79Xf8t0m5ruNbw6C4CyA9wD4UWPMt/CHwabOccfD1u9WvVv4BQDHADwGYB7Az96JSo0xGQC/C+CjQRDk+bM72R+OdtyV/vB43fC/5e24a9/dvfB7vpd/y3ebmOcATNP7g1vH7giCIJjb+r8E4PewKV8sipSy9X/pDjUnrN472kdBECwGQdAKgqAN4N/iuqRz29phjIli8wf060EQ/Ietw3e8P1ztuBv9cQ/jrvWJ/y1vx9367u6F3/O9/lu+28T8ZQDHjTFHjTExAN8D4FN3omJjTNoY0yevAXwHgK9t1f+BrdM+AOD370R7utT7KQDftxW9+CSADZKEbjmUf+d92OwTacf3GGPixpijAI4D+NItqM8A+CUALwdB8HP00R3tj7B23On+uMdxV37P/rfsxt347u6F3/O++C3f6Wgz/YfNqLxvYDMS7h/cwXpnsBmJ91UAL0rdAIYBfBbAqwD+FMDQbaj7k9iUUhrY9Gf8UFi92IxW/L+2+ucFAI/f5nZ8Yque57H5hZ2g8//BVjteAfCeW9SGb8amrPU8gHNbf0/d6f7o0o472h/3+t/d+D373/Le+C1vlXvXf8/74bfsM395eHh4eHjsIdxtKdvDw8PDw8OD4InZw8PDw8NjD8ETs4eHh4eHxx6CJ2YPDw8PD489BE/MHh4eHh4eewiemD08PDw8PPYQPDF7eHh4eHjsIXhi9vDw8PDw2EP4/wEmewZiecpSSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affined_data_dict = rand_affine(data_dict)\n",
    "print(f\"image shape: {affined_data_dict['image'].shape}\")\n",
    "\n",
    "image, label = affined_data_dict[\"image\"][0], affined_data_dict[\"label\"][0]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[:, :, 15], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[:, :, 15])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random elastic deformation\n",
    "\n",
    "Similarly, the following elastic deformation is defined to output a (300, 300, 10) image patch.  \n",
    "The image is resampled from a combination of affine transformations and elastic deformations.  \n",
    "`sigma_range` controls the smoothness of the deformation (larger than 15 could be slow on CPU)  \n",
    "`magnitude_range` controls the amplitude of the deformation (large than 500, the image becomes unrealistic)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rand_elastic = Rand3DElasticd(\n",
    "    keys=[\"image\", \"label\"],\n",
    "    mode=(\"bilinear\", \"nearest\"),\n",
    "    prob=1.0,\n",
    "    sigma_range=(5, 8),\n",
    "    magnitude_range=(100, 200),\n",
    "    spatial_size=(300, 300, 10),\n",
    "    translate_range=(50, 50, 2),\n",
    "    rotate_range=(np.pi / 36, np.pi / 36, np.pi),\n",
    "    scale_range=(0.15, 0.15, 0.15),\n",
    "    padding_mode=\"border\",\n",
    ")\n",
    "rand_elastic.set_random_state(seed=123)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can rerun this cell to generate a different randomised version of the original image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 300, 300, 10)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "deformed_data_dict = rand_elastic(data_dict)\n",
    "print(f\"image shape: {deformed_data_dict['image'].shape}\")\n",
    "\n",
    "image, label = deformed_data_dict[\"image\"][0], deformed_data_dict[\"label\"][0]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[:, :, 5], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[:, :, 5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleanup data directory\n",
    "\n",
    "Remove directory if a temporary was used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
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